Program
Invited Speakers, Panelists, and Moderators
Dr. Angelica Lim is the Director of the Rosie Lab, and an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU). Previously, she led the Emotion and Expressivity teams for the Pepper humanoid robot at SoftBank Robotics. She received her B.Sc. in Computing Science with Artificial Intelligence Specialization from SFU and a Ph.D. and M.Sc. in Computer Science (Intelligence Science) from Kyoto University, Japan. She and her team have received Best paper in Entertainment Robotics and Cognitive Robotics Awards at IROS 2011 and 2022, and Best Demo and LBR at HRI 2021 and 2023. She has been featured on the BBC, TEDx, hosted a TV documentary on robotics, and was recently featured in Forbes 20 Leading Women in AI. She was the founding director of Canada's AI4ALL training program for young women, and is an Associate Editor for IEEE ICRA. Her research interests include multimodal machine learning, affective computing, and human-robot interaction.
Thea Klaeboe Aarrestad is a fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She holds a PhD in Particle Physics from the University of Zürich and has worked as a research fellow at CERN in Geneva before moving to ETH. Her research centers on how Machine Learning can be applied to particle physics problems, especially focusing on using real-time Machine Learning (ML) and anomaly detection for discovering new physics phenomena. She has worked on tools for performing low-power, nanosecond ML inference on field-programmable gate arrays (FPGAs) together with scientists from CERN, AMD, Google and Volvo-owned autonomous driving software company Zenseact, as well as developing new methods for collecting and analysing proton collision data at the CERN Large Hadron Collider. She holds several publications in the topics of machine learning and particle physics in journals like Nature Machine Intelligence, PRL and JHEP. She also coordinates the Fast Machine Learning for Science Laboratory and the Targeted Systems Group within the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute.
Aditi Raghunathan is an Assistant Professor in the Computer Science Department at CMU. She received her PhD from Stanford in 2021, and Bachelor of Technology from IIT Madras in 2016. Her research focuses on building reliable and robust machine learning systems. She is a recipient of the Okawa Research Grant, Schmidt AI2050 Early Career Fellowship, the Google Research Scholar Award, Rising Stars in EECS, Google PhD Fellowship, Open Philanthropy AI Fellowship, Stanford School of Engineering Fellowship and Google Anita Borg Memorial Fellowship. She was featured in the Forbes 30 under 30 list for her contributions to reliable machine learning. Her PhD thesis was awarded the Arthur Samuel Best Thesis Award at Stanford. Her research has also been recognized by multiple orals and spotlights at top conferences, and a Best Paper Award at Data Problems in ML Workshop at ICLR 2024.
Isabelle Guyon is Director, Research Scientist at Google Deepmind, in detachment from her position as professor of Artificial Intelligence at Université Paris-Saclay (Orsay). She specializes in data-centric AI, statistical data analysis, pattern recognition, and machine learning. She has been a strong promoter of challenges and benchmarks. Her recent interests include AI-assisted human communication using Infographics. Prior to joining Paris-Saclay she worked as an independent consultant and was a researcher at AT&T Bell Laboratories, where she pioneered applications of neural networks in the 80’s with Yann LeCun and Yoshua Bengio, among others. She is president of Chalearn, a non-profit dedicated to organizing challenges in machine learning, community lead of Codalab competitions a challenge organization platform, action editor of the Journal of Machine Learning Research (JMLR), co-editor of the Data-Centric Machine Learning Research Journal (DMLR), and served as program co-chair of NIPS 2016 and general co-chair of NIPS 2017. She is the 2020 recipient of the BBVA Frontiers in Research Award together with Prof. Schoelkopf and Prof. Vapnik for contributions to kernel methods (including the invention of Support Vector Machines) and to causality in machine learning.
Tatjana Chavdarova is a visiting professor at the Department of Electronics, Information, and Bioengineering (DEIB) at Politecnico di Milano (Polimi). Her work focuses on the intersection of game theory and machine learning, with an emphasis on optimization and algorithmic approaches. She earned her Ph.D. in machine learning from EPFL and Idiap, under the guidance of François Fleuret. During her Ph.D., she interned at Mila, working with Yoshua Bengio and Simon Lacoste-Julien, and at DeepMind, mentored by Irina Higgins. After completing her Ph.D., Tatjana was a Postdoctoral Research Scientist at the Machine Learning and Optimization (MLO) lab at EPFL with Martin Jaggi. She then joined the Department of Electrical Engineering and Computer Science (EECS) at UC Berkeley as a Postdoctoral Researcher with Michael Jordan.
Hanna Wallach is a Partner Research Manager at Microsoft Research New York City. Her research focuses on issues of fairness, accountability, transparency, and ethics as they relate to AI and machine learning. She collaborates with researchers from machine learning, natural language processing, human--computer interaction, and science
and technology studies, as well as lawyers and policy makers; her
research integrates both qualitative and quantitative methods. Hanna
also leads an applied science team at Microsoft that bridges research
and practice in the space of responsible AI, with a particular focus
on measuring the risks and capabilities of generative AI
systems. Prior to joining Microsoft, Hanna was an assistant professor
in the College of Information and Computer Sciences at UMass Amherst
and a member of UMass Amherst's Computational Social Science
Institute, where she developed machine learning and natural language
processing methods for analyzing the structure, content, and dynamics
of social processes. She collaborated with political scientists,
sociologists, journalists, and others to understand local government
email networks, the US government security classification system,
multilateral relations between countries, and public policy diffusion
networks. Hanna's research has had broad impact in computer science
and in the social sciences. She and her co-authors have won best paper
awards at the AISTATS, CHI, and NAACL conferences. In 2014, she was
named one of Glamour magazine's "35 Women Under 35 Who Are Changing
the Tech Industry." In 2016, she was named co-winner of the CRA-WP
Borg Early Career Award. She served as the Senior Program Chair for
the NeurIPS 2018 conference and as the General Chair for the NeurIPS
2019 conference. She currently serves on the NeurIPS Executive Board,
the ICML Board, the FAccT Steering Committee, and the WiML Senior
Advisory Council. Hanna is committed to increasing diversity in
computing and has worked for almost two decades to address the
underrepresentation of women, in particular. To that end, she
co-founded several initiatives, including the annual Women in Machine
Learning Workshop and two projects---the Debian Women Project and the
GNOME Outreach Program for Women---that focus on increasing women's
participation in free and open source software development.
Sarah Osentoski is the CTO of Vinci4d, a company building a co-pilot for hardware designers. She is interested in products that combine AI and the physical world. Previously, she was the SVP of Engineering at Iron Ox, where she worked to enable sustainable agriculture using robotics and AI, and the COO of Mayfield Robotics, which built Kuri, an adorable home robot. She served as the president of WiML from 2019 to 2022 and has also been a board member of Silicon Valley Robotics and Women in Robotics.
Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. Her current research focuses on machine learning in social context and the role of prediction in digital economies. She obtained her PhD from ETH Zurich, spent four years as a researcher at IBM research Europe, and two years as a SNSF postdoctoral fellow at UC Berkeley. The impact of her scientific contributions was recognized with the ETH Medal, the Fritz Kutter Prize and the IBM Eminence and Excellence award. She is an Elisabeth Schiemann fellow, an ELLIS Scholar and currently serving as a senior area chair for ICML and NeurIPS, and as a member of the board of directors for EAAMO.
Invited Mentors
Schedule (all times are local - PT)
NeurIPS registration is required to attend the WiML Workshop and Joint Poster Session for Affinity Workshops.
NeurIPS registration is NOT needed to attend the WiML Reception, which has its own registration process, which will be announced soon.
Important Note: NeurIPS registration will start on Monday, December 9 (between 12 pm - 6 pm), allowing early arrivals to pick up their badges and avoid the expected rush on Tuesday morning.
Tip: Check out our brochure for more details on the program and venue!
Tuesday, December 10
WiML Workshop
Workshop Room: West Meeting Room 211-214
Sponsor Room (Booths): West Meeting Room 210.
Overflow Streaming Room: West Meeting Room 217-219
8:15 am – 9:00 am Registration and Breakfast
9:00 am – 9:10 am Opening Remarks by Tiffany Vlaar (University of Glasgow)
9:10 am – 09:40 am Invited Talk by Angelica Lim (Simon Fraser University)
9:40 am – 10:10 am Invited Talk by Thea Aarrestad (ETH)
10:10 am – 10:40 am Coffee Break & Invited Speakers Office Hours
10:40 am – 11:00 am Contributed Talks
11:00 am – 12:30 pm Mentorship Roundtables
12:30 pm – 1:20 pm Lunch
1:20 pm – 1:50 pm Invited Talk by Aditi Raghunathan (Carnegie Mellon University)
1:50 pm – 2:20 pm Invited Talk by Isabelle Guyon (Google DeepMind)
2:20 pm – 2:50 pm Coffee Break & Invited Speakers Office Hours
2:50 pm – 3:50 pm Panel: Diversifying Leadership and the Future of ML
Panelists: Angelica Lim, Thea Aarrestad, Isabelle Guyon, Tatjana Chavdarova
Moderated By Celestine Mendler-Dünner
3:50 pm – 4:40 pm Fireside Chat: WiML and Me: Looking Back, Looking Forward
By: Hanna Wallach (WiML Co-Founder, Microsoft Research) and Sarah Osentoski (WiML Ex-President, Vinci4D)
4:40 pm – 5:00 pm WiML President's Remarks and Prizes by Sarah Tan (Salesforce; Cornell University)
Note: Attendees can visit the sponsor booths anytime (from 8 am to 5 pm, though booth operating hours may differ by sponsor). Attendees are particularly encouraged to visit the sponsor booths during meal and coffee breaks.
Joint Poster Session for Affinity Groups
Poster Session Room: West Ballroom D
Note that this session includes WiML posters as well as the other affinity groups posters.
6:30 pm – 8:00 pm Affinity Joint Poster Session
(Venue: West Ballroom D)
Wednesday, December 11
Venue: Paradox Hotel Vancouver
6:00 pm – 9:30 pm WiML Reception (Optional. Register here to secure your seat.)
We will have two special guests: Tatjana Chavdarova (Politecnico di Milano) and Akiko Eriguchi (Microsoft Research),
giving remarks about their experience, career path, and unique perspective on the machine learning community.
This reception is a unique opportunity to connect with WiML community members from diverse research
areas and career stages. Join us to network, find mentorship, and share insights in a welcoming environment.
All genders are welcome, and a buffet will be served.
Contributed Talks
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim (KAIST)*, Minsu Kim (KAIST), Sanghyeok Choi (KAIST), Jinkyoo Park (KAIST)
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni (McGill University, Mila)*, Jonathan Colaço Carr (McGill University), Yash More (McGill University), Jackie Chi Kit Cheung (McGill University / Mila), Golnoosh Farnadi (McGill University, Mila, Université de Montréal, Google)
Markov Chain Variance Estimation: A Stochastic Approximation Approach
Shubhada Agrawal (CMU)*, Prashanth L.A. (IIT Madras), Siva Theja Maguluri (Georgia Tech)
Mirror Langevin Dynamics with Plug-and-Play Priors for Poisson Inverse Problems
Teresa Klatzer (University of Edinburgh)*, Savvas Melidonis (Heriot-Watt University), Konstantinos Zygalakis (University of Edinburgh), Marcelo Pereyra (Heriot-Watt University)
List of Posters
Accepted Abstracts/Posters (to be presented in person)
Learning Contrastive Representations for Dense Passage Retrieval in Open-domain Conversational Question Answering
Munazza Zaib (Monash University)*; Elaf Alhazmi (Macquarie Univeristy)
Enhancing Speech Recognition through Diverse Shared Features Accent Classification
AMINA SALIFU (Kwame Nkrumah University of science and Technology )*; Henry Nunoo (Kwame Nkrumah university of Science and technology )
Enhancing Credit Risk Assessment through Transformer-Based Machine Learning Models
JEAN AMUKWATSE (Living Goods)*; Joan Arimpa (Makerere University)
Anomaly Detection in Weather and Irradiation Data: A Study of 12 German Cities
Rafiat BAMIMORE AKODU (Mohammed VI Polytechnic University)*; Rasheed Oyewole (Mohammed VI Polytechnic University); Sanda Taiwo (Mohammed VI Polytechnic University)
Toward Comprehensive Neural Network Robustness
Fatemeh Amerehi (University of Limerick)*; Patrick Healy (University of Limerick)
Predictive Modeling of Safe Zones on University Campuses Using Space Syntax and Machine Learning
Abeer Sanyour (IIT BHU Varanasi )*
Improving Text Retrieval with Decoder-based Cross-encoder Ranking Models
Ronay Ak (NVIDIA)*; Mengyao Xu (NVIDIA); Gabriel Moreira (Nvidia); Benedikt Schifferer (Nvidia); Radek Osmulski (NVIDIA); Even Oldridge (NVIDIA)
Suicide Ideation Prediction Using Convolutional Neural Network Bidirectional Long Short-Term Memory CNN-BiLSTM
Christianah Oyewale (School of Collective Intelligence, Mohammed VI Polytechnic University, Morocco)*; Joseph D. Akinyemi (Department of Computer Science, University of York); Ayodeji O.J Ibitoye (School Computing and Mathematical Science, University of Greenwich); Olufade F.W Onifade (Computer Science Department, University of Ibadan)
Responsible Rhymes : Bias Mitigation of Gender Stereotypes using corpora
Harini S (BIA)*
Integration of IoT-Based Agricultural Monitoring System Using LSTM Networks and NLP for Maize Disease Anomaly Detection and Diagnostic Assistance
Theofrida Maginga (University of Rwanda)*
Towards Real-Time Breast Cancer Diagnosis: Enhancing CNN Model Efficiency and Fairness
Sadura Akinrinwa (The Federal University of Technology, Akure)*
Graph Neural Networks for Seizure Detection in EEG Signals
Jaya Kedia (IIT (BHU) Varanasi)*; Deepak Mishra (IIST); Ramzan Basheer (IIST )
Gradient Boosting for yield prediction of elite maize hybrid ZhengDan 958
Oumnia Ennaji (UM6P)*; Sfia Baha (UM6P); leonardus Vergutz (UM6P); Achraf El allali (UM6P)
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader (McGill University / Mila)*; Vaibhav Adlakha (McGill University/MILA); Marius Mosbach (McGill University / Mila); Dzmitry Bahdanau (ServiceNow Research); Nicolas Chapados (ServiceNow Research); Siva Reddy (Mila)
TexPlex: A Self-Supervised Framework for Texture Analysis of Multiplexed Proteomic Imaging
Ishita Mangla (Stanford University)*; Bryan Cannon (Stanford University); Sean Bendall (Stanford University)
Machine Learning Algorithm for Classifying Malaria based on Clinical Parameters
Standylove Mensah (Kwame Nkrumah University of Science and Technolgy(KNUST))*
Adaptive QoS-Aware Reinforcement Learning for Dynamic V2V Communication Environments
ANNU . (IIT HYDERABAD)*; Rajalakshmi pachamuthu (iit hyderabad)
Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez (Genentech)*; Chirag Agarwal (University of Virginia); Siddharth Betala (IIT Madras)
Safe decision making in autonomous vehicles using multi-objective soft-actor critic algorithm
Naa Korkoi Addo (University of Limerick)*; Patrick Healy (University of Limerick)
MLSherlock: An Audit Lens for Policy-Compliance Machine Learning Systems
Ismat Jarin (University of California, Irvine)*; Tu Le (University of California, Irvine); Athina Markopoulou (UC Irvine)
Position Paper: The Urgent Need for Advancements in Machine Unlearning Algorithms to Ensure AI Safety
Yashaswini Viswanath (Reva University)*; Vishwanath Hulipalled (REVA University); Kaustubha Vecham (Microsoft); Suprith S (IIT Madras)
Annealed variational mixtures for disease subtyping and biomarker discovery
Emma Prevot (University of Oxford)*; Paul Kirk (University of Cambridge); Filippo Pagani (University of Warwick)
Do Large Language Models Understand Cause and Effect?
Hanna Dettki (New York University)*; Charley Wu (University of Tübingen); Brenden Lake (NYU); Bob Rehder (New York University)
Unleashing Creativity: Generalizing Semantic Control for Text-to-Image Diffusion Models
Linoy Tsaban (Hugging Face)*; Manuel Brack (TU Darmstadt); Marlon May (TU Darmstadt); Felix Friedrich (TU Darmstadt); Patrick Schramowski (TU Darmstadt); Apolinario Passos (Hugging Face); Ajinkya Kale (Adobe); Kristian Kersting (TU Darmstadt)
Predicting Mental Health Disorders with DistilBERT: Insights from Social Media Posts
Comfort Akanni (Olabisi Onabanjo University )*; Sakinat Folorunso (Olabisi Onabanjo university); Oluwaseyi Ogunlana (Guaranty Trust Bank)
Fair Allocation in Dynamic Mechanism Design
Annie Ulichney (UC Berkeley)*; Alireza Fallah (UC Berkeley); Michael Jordan (UC Berkeley)
A Novel CNN Filter Inspired by Order Theory
Eric Dolores-Cuenca (Pusan National University); Susana López-Moreno (Pusan National University)*; Aldo Guzmán-Sáenz (IBM); Sangil Kim (Pusan National University); Jose L. Mendoza-Cortes (Michigan State University)
Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis
Abdulganiyu Jimoh (University Mohammed VI Polytechnic)*
DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food Interactions
Sofia Bourhim (ENSIAS)*
Reinforcement Learning-Based Multi-Objective Traffic Signal Control with Emergency Vehicle and Pedestrian Prioritization
IMANE BRIKI (Mohammadia School Of Engineers)*; Maryam Alami Chentoufi (Hassan 1st University); Rachid Ellaia (Mohammadia School Of Engineers)
Promptly-Cited: Citation based Prompting via Pseudo-Retrieval-Augmented Generation
Pooja Ganesh (University of Illinois, Urbana-Champaign)*; Soumya Kundu (King's College London)
Variational Inequality Optimizers for Multi-Agent Reinforcement Learning
Baraah Adil Mohammed Sidahmed (Saarland University)*; Tatjana Chavdarova (UC Berkeley)
Research on K-NN Classifier for Date Fruit Classification with adequately chosen topology
Tanziah Khanam (Kanagawa University)*; Minoru W. Yoshida (Kanagawa University )
Markov Chain Variance Estimation: A Stochastic Approximation Approach
Shubhada Agrawal (CMU)*; Prashanth L.A. (IIT Madras); Siva Theja Maguluri (Georgia Tech)
Towards the use of efficient Vision Transformers for Lightweight Convolutional Occupancy Networks
Claudia Melis Tonti (Sapienza, University of Rome)*; Irene Amerini (Sapienza Universita di Roma)
Comprehensive Framework for Audio Deepfake Detection: From Capsule Networks to Hybrid and Continual Learning Models.
Taiba Majid (Sapienza University of Rome)*; Irene Amerini (Sapienza Universita di Roma)
Explainable Reinforcement Learning for Optimizing Electricity Costs in Building Energy Management
Hallah Butt (Karlsruhe Institute of Technology)*; Qiong Huang (Karlsruhe Institute of Technology); Benjamin Schäfer (Karlsruhe Institute of Technology)
Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.
Chisom Chibuike (University of Nigeria)*; Adeyinka Ogunsanya (University of Ilorin)
Mirror Langevin Dynamics with Plug-and-Play Priors for Poisson Inverse Problems
Teresa Klatzer (University of Edinburgh)*; Savvas Melidonis (Heriot-Watt University); Konstantinos Zygalakis (University of Edinburgh); Marcelo Pereyra (Heriot-Watt University)
Optimizing the performance and interpretability of multimodal breast cancer screening through late fusion
Asma Zizaan (Mohammed VI Polytechnic university)*; Ali Idri (Mohammed VI Polytechnic University)
An interpretable Bagging of Neuro-Fuzzy Systems
Hafsaa Ouifak (UM6P)*; Ali Idri (Mohammed VI Polytechnic University, Marrakech-Rhamna, Benguerir, Morocco)
Generalization of Analogies: From Word Vectors to Images
Daniela Teodorescu (University of Alberta)*; Alona Fyshe (University of Alberta)
Fairness-Enhancing Data Augmentation Methods
Monica Welfert (Arizona State University)*; Nathaniel Stromberg (Arizona State University); Lalitha Sankar (Arizona State University)
GeoLLM: Comparative Study and Enhancement of Large Language Models for Geospatial Knowledge Using Retrieval Augmented Generation(RAG).
Serah Akojenu (Data Scientists Network)*; Olubayo Adekanmbi (Data Science Nigeria); Anthony Soronnadi (Data Science Nigeria)
LLMs on interactive feature collections with implicit look-ahead strategies
Juyeon Heo (Juyeon)*; Vihari Piratla (Cambridge University); Kyunghyun Lee (Columbia University); Hyonkeun Joh (Yonsei University); Adrian Weller (University of Cambridge)
Evaluating Simplicity over Complexity: Autoencoder Architectures for Real-Time Vehicle Damage Detection
Sara Khan (Uni of Bremen)*
Supporting Responsible Machine Learning by Improving Data Curation
Eshta Bhardwaj (University of Toronto)*; Christoph Becker (University of Toronto)
Memory-Efficient On-Device Learning for TinyML Applications with Low-Rank Approximation and Quantization in MATLAB
Claire Callon (Amherst College); Jim Joy (MathWorks); Shixin Zhuang (MathWorks)*
Evaluating Generative AI for Scenario Variation in Automated Driving Validation
Manasa Mariam Mammen (University of Stuttgart)*; Zafer Kayatas (Mercedes Benz AG); Eva Zimmermann (TU Munich); Pavel Nedvedicky (TU Munich)
Advanced Detection of Cochlear Hair Cells Using YOLOv10 in Auditory Diagnostics
Sara Avila (Creighton University)*; Hannah Graff (Creighton University); Ariana Mondiri (creighton); Samantha Phillips (Creighton University ); Ashlyn Viereck (Creighton University); Kaylee Van Handel (Creighton University); Cole Krudwig (Creighton University); Adya Huler (Creighton University); Steven Fernandes (Creighton University)
Dynamics Based Neural Encoding with Inter-Intra Region Connectivity
Mai Gamal (German University in Cairo)*; Mohamed Rashad (Ain Shams University); Eman Ehab (Nile University); Seif Eldawlatly (The American University in Cairo); Mennatullah Siam (Ontario Tech University)
Saliency Prediction of groups within a convenience store
Rezvan Sherkati (McGill University)*; James J. Clark (McGill University); Yinan Wang (McGill University); Sansitha Panchadsaram (McGill University)
Subseasonal Prediction of Summer Temperature in West Africa Using Machine Learning: A Case Study of Senegal
Annine Duclaire Kenne (University Linz, Linz, Austria)*; Mory Toure (Agence Nationale de l’Aviation Civile et de la Meteorologie (ANACIM)); Lema Logamou Seknewna (AIMS Research Innovation Center); Herve Landry Ketsemen (University of Yaounde 1)
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
Chi-en Tai (University of Waterloo)*; Oustan Ding (University of Waterloo); Alexander Wong (University of Waterloo)
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities
Benjamin Ng (University of Waterloo); Chi-en Tai (University of Waterloo); E. Zhixuan Zeng (University of Waterloo)*; Alexander Wong (University of Waterloo)
Fast Kernel Scene Flow
Xueqian Li (The University of Adelaide)*
Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud (Polytechnique Montreal)*; Herve Lombaert (ETS Montreal / Inria); Samuel Kadoury (Polytechnique Montréal)
Task-Graph and SAC-Based Meta-Learning for Optimized Robotic Task Transfer
Sofanit Wubeshet Beyene (Seoul National University of Science and Technology)*; Bizu Birru (Yonsei University)
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
sujin yun (KAIST)*; jaewoo lee (KAIST); Yun Taeyoung (KAIST); Jinkyoo Park (KAIST)
A Hierarchical Agriculture Benchmark for Multimodal Large Language Models
Yutong Zhou (Leibniz Centre for Agricultural Landscape Research (ZALF))*; Masahiro Ryo (Leibniz Centre for Agricultural Landscape Research (ZALF))
Improving Pavement Temperature Forecasting: Using Temporal Fusion Transformer and Context Enhancement Module
Bizu Birru (Yonsei University)*; Sofanit Wubeshet (Seoul National University of Science and Technology)
Explainable and Fair AI Models for Culturally Sensitive Healthcare in Rural Nigeria
Ugochi Okafor (Data Science Nigeria)*; Olubayo Adekanmbi (Data Science Nigeria); Anthony Soronnadi (Data Science Nigeria)
Ontology Extraction and Evaluation for the Blue Amazon
Vivian Magri Alcaldi Soares (University of São Paulo)*; Renata Wassermann (Universidade de São Paulo)
Reasoning-Driven Jury System for LLM Evaluation
Ayda Sultan (N/A)*
Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Deep Learning
Hadeer El Ashhab (KIT)*; Benjamin Schäfer (Karlsruhe Institute of Technology); Sebastian Pütz (Karlsruhe Institute of Technology); Matthias Hertel (KIT); Ralf Mikut (Karlsruhe Institute of Technology); Markus Götz (Karlsruhe Institute of Technology (KIT)); Veit Hagenmeyer (Karlsruhe Institute of Technology (KIT))
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez (IT University of Copenhagen)*; Natalia-Rozalia Avlona (University of Copenhagen); Dovile Juodelyte (IT University of Copenhagen); Théo Sourget (ITU); Caroline Vang-Larsen (IT University of Copenhagen); Anna Rogers (IT University of Copenhagen); Hubert Dariusz Zaj_c (University of Copenhagen); Veronika Cheplygina (ITU)
Public Interest AI in Action
Theresa Zueger (Alexander von Humboldt Institute for Internet and Society)*; Hadi Asghari (Humboldt Institute for Internet and Society)
COMPARATIVE STUDY OF LLMS FOR PERSONAL FINANCIAL DECISION IN LOW RESOURCE LANGUAGE
Rashidat Sikiru (Data Science Nigeria)*; Olubayo Adekambi (Data Science Nigeria); Anthony Soronnadi (Data Science Nigeria)
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim (KAIST)*; Minsu Kim (KAIST); Sanghyeok Choi (Korea Advanced Institute of Science and Technology); Jinkyoo Park (KAIST)
Evaluating Machine Learning Methods for PM2.5 Estimation Using Satellite AOD, Low-Cost and Reference-Grade Monitors in Kampala.
Priscilla Adong (University College Dublin)*; Soumyabrata Dev (University College Dublin)
Importance Sampling based Federated Unsupervised Representation Learning
Nazreen Shah (Indraprastha Institute of Information Technology, Delhi)*; Prachi Goyal (Indraprastha Institute of Information Technology); Ranjitha Prasad (Indraprastha Institute of Information Technology Delhi)
Multi-Genera Classification of Mosquitoes Using Convolutional Neural Networks on Wingbeat Acoustics
Rose-Mary Owusuaa Mensah Gyening (Kwame Nkrumah University of Science and Technology)*; Nutifafa Agbenor-Efunam (Kwame Nkrumah University of Science and Technology); Alice Lakyiere (Kwame Nkrumah University of Science and Technology); Edmund Ilimoan Yamba (Kwame Nkrumah University of Science and Technology); Kingsley Badu (Kwame Nkrumah University of Science and Technology)
Scaling Foundation Models for Time Series Forecasting
Preetika Verma (Google); Gunjan Jalori (Google)*; Sercan Arik (Google)
Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals
Mrigi Munjal (Massachusetts Institute of Technology)*; Jaewan Lee (LG AI Research); Changyoung Park (LG AI Research); Sehui Han (LG AI Research)
The Pitfalls of Mixing Gradients in the Byzantine Heterogeneous Setting
Latifa Errami (um6p)*
Out-of-domain Analysis in 3D Whole-Body PET/CT Lesion Segmentation
Pauline Ornela Megne Choudja (University of Tuebingen)*; Christian la Fougère (Department of Radiology, University Hospital and Medical Faculty Tübingen ); Konstantin Nikolaou (Department of Radiology, University Hospital and Medical Faculty Tübingen); Clemens Cyran (Department of Radiology, University Hospital, LMU Munich); Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich); Sergios Gatidis (University of Tübingen); Thomas Kuestner (University Hospital of Tuebingen)
Text-to-Image License Plate Generation with Latent Diffusion Models
Mariia Shpir (National University of Kyiv-Mohyla Academy )*; Nadiya Shvai (CYCLOPE.AI); amir nakib (unviersité Paris Est)
A Stratified Seed Selection Algorithm for K-means Clustering on Big Data
Namita Bajpai (IIT kharagpur)*; Jiaul Paik (IIT Kharagpur); Sudeshna Sarkar (IIT Kharagpur)
Improving Harm Reduction Tactics for a Multimodal Software Solution
Lucia Berger (Microsoft )*
Hamiltonian Matching for Symplectic Neural Integrators
Priscilla Canizares (University of Cambridge)*; Davide Murari (NTNU); Ferdia Sherry (University of Cambridge); Zak Shumaylov (Unversity of Cambridge); Carola-Bibiane Schönlieb (Cambridge University)
Overlap Detection improves Tabular Data Synthesizers for Imbalanced Datasets
Annie Dsouza (IIT Bombay)*; Swetha Magesh (IIT Bombay); Sunita Sarawagi (IIT Bombay)
Optimizing Cloud-Based Machine Learning Deployments
Kaustubha Vecham (Microsoft)*
Graph-based Change detection for Natural Language
Akshita Ramya Kamsali (Purdue University)*
A Framework for Systematic Management of Agent Design Patterns in Multi-Agent Systems
Jagannatham Jahnavi (Christ University )*; Yashaswini Viswanath (Reva University)
DrugAgent: A framework for drug discovery streamlined by an LLM Agent
Anushka Shelke (Indian Institute of Science Education and Research (IISER) Bhopal)*; Rohan Kumar (Indian Institute of Technology Bhilai); Agneev Ray (National Institute of Science Education and Research); Parthiban Srinivasan (Indian Institute of Science Education and Research (IISER) Bhopal)
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine
Amanda Buch (Weill Cornell Medicine, Cornell University)*; Conor Liston (Weill Cornell Medicine, Cornell University); Logan Grosenick (Weill Cornell Medicine, Cornell University)
Self-Supervised Amharic Text-to-Speech Using Unified Encoder-Decoder Pre-Training
Rahel Tamiru (Ethiopian Artificial Intelligence Institute)*; ABEL ALEMU (ETHIOPIAN ARTIFICIAL INTELLIGENCE INSTITUTE)
Maize Yield Response to Fertilizers using Random Forest and Generalized Additive Model
Hulda Sakyi (International Fertilizer Development Center)*
Supervising Multi-modal Perception of Limited Sensors from an Information Perspective
Anna Min (Tsinghua University)*; Ziyang Chen (University of Michigan); Hang Zhao (Tsinghua University)
GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks
Hana Tamiru (Haramaya University)*
Investigating Relational State Abstraction in Multi-Agent Reinforcement Learning
Sharlin Utke (University of Warwick)*; Jeremie Houssineau (Nanyang Technological University); Giovanni Montana (University of Warwick)
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni (McGill University, Mila)*; Jonathan Colaço Carr (McGill University); Yash More (McGill University); Jackie Chi Kit Cheung (McGill University / Mila); Golnoosh Farnadi (McGill University, Mila, Université de Montréal, Google)
Determining Treatment Disparities across Multiple Healthcare Datasets via Statistical Analysis
Purity Mugambi (University of Massachusetts, Amherst)*; Joohyun Chung (University of Massachusetts Amherst, Amherst, MA, USA); Rae Walker (University of Massachusetts, Amherst); Michael Sherman (University of Massachusetts Medical School); Stephanie Carreiro (University of Massachusetts Medical School); Madalina Fiterau (University of Massachusetts Amherst)
Enhancing Inclusivity: Machine Translation of English Biological Research Papers to Nigerian Pidgin-English (A language spoken by over 75 million people)
Flora Oladipupo (Data Scientists Network)*; Olubayo Adekanmbi (Data Science Nigeria); Anthony Soronnadi (Data Science Nigeria)
Evaluating Accented Speech Recognition Performance on Nigerian Accents
Oreoluwa Babatunde (Olabisi Onabanjo University)*; Victor Olufemi (Obafemi Awolowo University); Sakinat Folorunso (Olabisi Onabanjo university); Babatunde Oluwasemilore (Olabisi Onabanjo University)
LLM Unlearning EKG: Evaluations using Knowledge Graphs
Rushali Mohbe (Northeastern University)*; Samuel Scarpino (Northeastern University)
Detecting Machine-Generated vs. Human-Generated Content Across Varying Text Lengths: Small, Medium, and Large
Anjali Rawal (Northeastern University); Hui Wang (Linkedin ); Mengyuan Liu (Northeastern University ); Yu-Hsuan Lin (Northeastern University); Youjia Zheng (Northeastern University); Shanu Sushmita (Northeastern University)*
Towards accessible NLP in clinical practice: Automated symptom extraction for adolescent endometriosis
Emily Leventhal (Icahn School of Medicine at Mount Sinai)*; Rebecca Cohen (Icahn School of Medicine at Mount Sinai); Nivedita Nukavarapu (Icahn School of Medicine at Mount Sinai); Victoria Lazarov (Icahn School of Medicine at Mount Sinai); Sarriyah Hanif (Icahn School of Medicine at Mount Sinai); Ipek Ensari (Icahn School of Medicine at Mount Sinai)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
MINA ARZAGHI (MILA- HEC Montréal)*; Florian Carichon (HEC Montreal); Golnoosh Farnadi (McGill University, Mila, Université de Montréal, Google)
Mitigating Feature Bias in DL Models for Cervical Cytology
Subhashree Sahu (Silicon Institute of Technology)*; Shubham Ojha (Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center); Aditya Narendra (Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center)
Are State-of-the-Art Models Really Inclusive? A Short Study on Low-Resource African Languages
Babatunde Oluwasemilore (Olabisi Onabanjo University); Oreoluwa Babatunde (Olabisi Onabanjo University)*
Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina (Federal University of Agriculture, Abeokuta)*
On Optimal Subgroup Definition for Bias Mitigation
Anissa Alloula (University of Oxford)*; Daniel McGowan (University of Oxford); Bartlomiej Papiez (University of Oxford)
Diabetes Disease Comorbidities
Temitope Folorunso (Olabisi onabanjo university)*; Sakinat Folorunso (Olabisi Onabanjo university)
Adaptive Knowledge Distillation for Efficient Domain-Specific Language Models.
Prajvi Saxena (DFKI)*; Sabine Janzen (DFKI GmbH); Wolfgang Maass (DFKI)
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
Sejuti Rahman (University of Dhaka)*; Swakshar Deb (University of Dhaka); Shafin Rahman (Northsouth University)
Improving E-commerce Sponsored Search Ads Relevance: A Novel Framework Using Large Language Models and Student Models
Isha Shah (Walmart)*
Risk Profiling using LLM and Few-shot Prompting Technique
Priti Gurung (Howard University)*; Manjil Rawal (Howard University); Moses Garuba (Howard University); Noha Hazzazi (Howard university)
Energy Efficient Machine Learning and Deep Learning Methods for Mosquito Classification
Danika Gupta (The Harker Upper School)*; Ming Zhao (Arizona State University); Awani Gadre (Santa Clara Unversity)
Implement and evaluate adversarial attack and defense in Deep Learning using MNIST Dataset
Henriette Flore KENNE (University of Massachusetts Lowell)*
Hyperspherical Projections for Continual Learning Using Pre-Trained Models
Anuhya Thota (London School Of Economics)*
Towards Rare Event and Anomaly Prediction in Manufacturing: Bridging Methodological Gaps in Industrial Applications
Chathurangi Shyalika Jayakody Kankanamalage (University of South Carolina)*; Renjith Prasad (University of South Carolina ); Ruwan Wickramarachchi (AI Institute, University of South Carolina, Columbia, SC); Amit Sheth (University of South Carolina)
Streamlining Clinical Trial Matching Using a Two-Stage Zero-Shot LLM with Advanced Prompting
Mozhgan Saeidi (Stanford University)*
Enhancing Language Models’ Performance on Mathematical Datasets A Multi-Agent Approach
Santhoshi Ravichandran (University of Montreal (MILA))*; Ashwini Rajaram (University of Montreal (MILA)); Priya Nama Venkatesh (Université de Montréal )
Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Ronneberg (University of Cambridge); Vidhi Lalchand (University of Cambridge )*
Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cance
Narmada Naik (d_tma Health Science)*; Kevin Matlock (d_tma Health Science)
Generalist Vision Foundation Model for Endoscopy
Shreya Johri (Harvard Medical School)*; Tyler Berzin (Beth Israel Deaconess Medical Center); Pranav Rajpurkar (Harvard Medical School)
Evaluating the Geometric Consistency of Text-to-3D generated models using Surface Normal Analysis
Samridha Murali (University of Maryland)*; Aswath Muthuselvam (University of Maryland - College Park)
Enhancing Communication Efficiency and Robustness in Split-Federated Learning with Rate-Distortion inspired Compression
Chamani Shiranthika Jayakody Kankanamalage (Simon Fraser University)*; Hadi Hadizadeh (Simon Fraser University); Ivan Bajic (Simon Fraser University); Parvaneh Saeedi (Simon Fraser University)
Overcoming Data Scarcity in Digital Agriculture: A Generative Approach to Hyperspectral Imaging
Nooshin Noshiri (University of Manitoba)*; Christopher Henry (University of Manitoba); Christopher Bidinosti (University of Winnipeg)
Fairness Before Fitting: Mutual Information Based Criteria for Task Level Fairness
Surbhi Rathore (University of Rhode Island )*; Sarah Brown (University of Rhode Island)
Automated Localization & Segmentation of Brain Tumors Using Attention-Enhanced U-Net
Somayeh Davar (Concordia University)*; Thomas Fevens (Concordia University)
Robust Split-Federated Learning model Using Co-learning mechanism for Medical Image Segmentation
Zahra Hafezi Kafshgari (Simon Fraser University)*; Hadi Hadizadeh (Simon Fraser University); Parvaneh Saeedi (Simon Fraser University)
Smart Labeling for Dynamic Node Classification
Farimah Poursafaei (Mila)*; Pratheeksha Nair (McGill University ); Reihaneh Rabbany (McGill University)
Exploring Human Daily Activity Through a Hierarchical Multimodal Lens
Ghazal Kaviani (Georgia Institute of Technology)*; Yavuz Yarici (Georgia Institute of Technology ); Mohit Prabhushankar (Georgia Institute of Technology); Ghassan AlRegib (Georgia Institute of Technology )
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering
Afaf Taik (Mila - Quebec AI Institute, Université de Montréal)*; Saber Malekmohammadi (University of Waterloo); Golnoosh Farnadi (Mila)
Multilingual Hallucination Gaps in Large Language Models
Cléa Chataigner (McGill University, Mila)*; Afaf Taik (Mila - Quebec AI Institute, Université de Montréal); Golnoosh Farnadi (McGill University, Mila, Université de Montréal, Google)
StresSense Enhanced: Elevating Stress Detection with Deep Hybrid Models
Nida Saddaf Khan (University of Texas Health Science Center at Houston)*; Nasir Uddin (NUCES FAST); Gulnaz Anjum (University of Oslo); Muhammad Sayeed Ghani (, University of North Carolina)
Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary (Purdue University)*; Sai Aparna Aketi (Purdue University); Gobinda Saha (Purdue University); Kaushik Roy (Purdue Uniiversity)
FeDAG: A DAG Blockchain-Based Hierarchical Federated Transfer Learning for Heterogeneous IoT
zahra batool ( École de technologie supérieure)*; Kaiwen Zhang (ÉTS Montréal); Zhongwen Zhu (Ericsson)
Helping Predict Agent Behaviors by Operationalizing Variation Theory of Learning
Tiffany Horter (University of Oxford)*; Serena Booth (Brown University); Vinitha Gadiraju (Wellesley College)
What Can 1.5 Million Tweets Reveal About Breast Cancer Patient Concerns?
Swati Rajwal (Emory University)*; Avinash Kumar Pandey (Emory University); Zhishuo Han (Emory University); Abeed Sarker (Emory University)
Linguistic Entity Masking to Improve Cross-Lingual Sentence Retrieval Capabilities of Multilingual Pre-trained Language Models for Low Resource Languages
Aloka Fernando (University of Moratuwa)*; Surangika Ranathunga (University of Moratuwa); Nisansa de Silva (Department of Computer Science and Engineering, University of Moratuwa)
Systematic Comparison of Unsupervised and Supervised Learning for Medical Image Segmentation
Sharon Quispe (Universidad San Ignacio de Loyola)*; Ingrid Arellano (Universidad San Ignacio de Loyola); Pedro Shiguihara (Universidad San Ignacio de Loyola)
Integrating Graph Neural Networks and Enhanced Sampling for Cryptic Pocket Discovery
Bodhi Vani (Genentech)*
Enhancing Data Center Efficiency for Machine Learning: The Role of Superconductors and Insights from Superconducting Power Grid Projects
Samarth Suresh (BSAI); Smrithi Suresh (UCSD)*
Evaluating Implicit Augmentation for Breast Cancer Diagnosis
yumnah hasan (university of limerick)*; talhat khan (University of Limerick); Darian Reyes (University of Galway); Juan F H Albarracín (University of limerick); Conor Ryan (University of Limerick)
Author Profiling of User Comments on Fashion Social Network
Kuan-Ting Chen (National Taiwan University)*
Alzheimer's Disease Risk Prediction using Radiomics and Interpretable ML
Louise Bloch (University of Applied Sciences and Arts Dortmund)*; Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund)
Learning to Reweight Examples in Backdoor Defense
Yufan Feng (University of Calgary)*; Benjamin Tan (University of Calgary); Yani Ioannou (University of Calgary)
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores
Jivat Neet Kaur (University of California, Berkeley)*; Michael Jordan (University of California, Berkeley); Ahmed Alaa (University of California, Berkeley)
Discovering Power Patterns in time varying HPC Workloads with Matrix Profile: A Clustering Approach
Naw Safrin Sattar (Oak Ridge National Laboratory)*; Ahmad Maroof Karimi (Oak Ridge National Laboratory); Woong Shin (Oak Ridge National Laboratory); Feiyi Wang (Oak Ridge National Laboratory)
Towards Principled Representation Learning from Videos for Reinforcement Learning
Dipendra Misra (Databricks); Akanksha Saran (University of Texas at Austin)*; Tengyang Xie (University of Wisconsin-Madison); Alex Lamb (Microsoft Research); John Langford (Microsoft)
Principled Masked Autoencoders
Alice Bizeul (ETHZ)*; Thomas Sutter (ETH Zurich); Alain Ryser (ETH Zurich); Julius von Kügelgen (ETH Zurich); Julia Vogt (ETH Zurich)
Bridging semantics and pragmatics in information-theoretic emergent communication
Eleonora Gualdoni (Universitat Pompeu Fabra)*; Mycal Tucker (MIT); Roger Levy (Massachusetts Institute of Technology); Noga Zaslavsky (NYU)
Enhancing Multi-Intent Dialogue Systems: Personalization through User Preference Knowledge Graphs and RAG
Smitha Muthya Sudheendra (University of Minnesota)*; Jaideep Srivastava (University of Minnesota)
Detection and Prediction of Progression of Parkinson’s Disease from Speech
Hiba Akhaddar (Mila)*; Tristan Glatard (Concordia University); Mirco Ravanelli (Université de Montréal)
Test-Time Adaptation with State-Space Models
Mona Schirmer (University of Amsterdam)*
CAMELOT++: Enhancing Patient Phenotype Discovery through Time-Series Clustering and Survival Analysis
Katarina Vukosavljevic (University of Oxford)*; Henrique Aguiar (University of Oxford); Tingting Zhu (University of Oxford)
Multi-Task Learning for T Cell Receptor Sequence Analysis
Prisha Satwani (UCL)*
Evaluating and Enhancing Counter-Argument Generation with Evidence and Style Control
Preetika Verma (Birla Institute of Technology and Science, Pilani); Kokil Jaidka (NUS); Svetlana Churina (NUS)*
Generating ASCII Art with Discrete Diffusion Models
Maisha thasin (University of Waterloo)*
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques
Rishika Bhagwatkar (University of Montreal, Mila)*; Shravan Nayak (Mila); Pouya Bashivan (McGill University); Irina Rish (Mila/UdeM)
Confounder-Agnostic Learning: Enhancing Robustness with Projected Gradient Descent
Sneha Chetani (CISPA Helmholtz Center for Information Security)*; Tatjana Chavdarova (UC Berkeley)
TVL-RAF: Tactile-Vision-Language Integration via Retrieval-Augmented Fusion
Yoorhim Cho (Sungkyunkwan University)*
Thermal Image Object Detection via Cross-Modal Knowledge Distillation from RGB
Meron Mihret (Sambe Health Science College ); Meron Mihret (Sambe Health Science College )*; Abel Mekonnen (Korenti Craft Technologies plc); Yeabsira Tessema (Korenti Craft Technologies)
GPTCodeval: An Empirical Evaluation Benchmark for Code Generation Using Language Models
Shreya Rajpal (Vellore Institute of Technology)*; Anbarasi Masilamani (Vellore Institute of Technology); Siva Shanmugam Gopal (Vellore Institute of Technology)
Brain Inspired Discrete Representations for GRN Inference using GFlowNets
Nirlipta Pande (NUS)*; Raghav Arora (IIIT Hyderabad); Dianbo Liu (Mila)
Enhancing Water Stress Classification using Drift-Aware Dynamic Neural Networks
Tejasri Nampally (Indian Institute of Technology Hyderabad Telangana India)*; Rajalakshmi pachamuthu (iit hyderabad); Balaji Banothu (P.J.T.S.Agricultural University); Uday Desai (Indian Institute of Technology, Hyderabad, India)
Harnessing U-NET and Multispectral Satellite Imageries for Harmful Algae Blooms (HABs) Segmentation
Amina Said (Dublin City University)*; Julia Dietlmeier (Insight SFI Research Centre for Data Analytics); Noel Connor (Home); Margaret McCaul (Dublin City University)
Understanding Lobbying Strategies in Legislative Process: Bill Position Dataset and Lobbying Analysis
Jiseon Kim (KAIST)*; Dongkwan Kim (KAIST); Joohye Jeong (MIT); In Song Kim (MIT); Alice Oh (KAIST)
What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
Aida Mohammadshahi (University of Calgary)*; Yani Ioannou (University of Calgary)
Modeling neural dynamics using periodic structured state space model
Pranjal Garg (Indian Institute Of Technology Madras); Vatsala Nema (IISER Bhopal)*
From Stateless to Adaptive: Dynamic Personalization for Conversational Language Models
Cicy Agnes (German Research Center for Artificial Intelligence)*; Wolfgang Maass (DFKI)
Detecting and Approximating Redundant Computational Blocks in Neural Networks
Irene Cannistraci (Sapienza University of Rome)*; Emanuele Rodola (Sapienza University of Rome); Bastian Rieck (University of Fribourg)
Harnessing Public Opinion with Fine-Tuned Language Models
Jenifer Za Nzambi (Czech Institute of Informatics, Robotics and Cybernetics)*
Improving Generalization in Neuron-to-Gaze Decoding for Brain-Computer Interfaces
Kendra Noneman (Carnegie Mellon University)*; J. Patrick Mayo (University of Pittsburgh)
Towards Real-Time Detection of Breathing Behavior using ECG-Derived Respiratory Signals in Clinical and Non-Clinical Settings
Bhargavi Mahesh (University of Augsburg)*; Elisabeth Andre (University of Augsburg)
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal (CISPA Helmholtz Center for Information Security)*; Adarsh Jamadandi (Saarland University); Rebekka Burkholz (CISPA Helmholtz Center for Information Security)
HVAC-DPT: A Decision Pretrained Transformer for HVAC Control
Anaïs Berkes (University of Cambridge)*
Liquid Resistance Liquid Capacitance Networks
Mónika Farsang (TU Wien)*; Sophie A. Neubauer (DatenVorsprung GmbH); Radu Grosu (TU Wien)
Apnea Events Detection in an Upper Airway Stimulation Therapy Device
Meghna Singh (University of Minnesota Twin Cities)*; Jaideep Srivastava (University of Minnesota)
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal (MIT)*; Aviv Netanyahu (MIT); Rafael Gomez-Bombarelli (MIT); Pulkit Agrawal (MIT)
Exploiting Longitudinal Speech Data via Voice Assistant Systems for Early Detection of Cognitive Decline
Kristin Qi (Umass Boston)*; Xiaohui Liang (University of Massachusetts Boston)
Non Invasive Stress Monitoring from Video
Akshata Tiwari (MIT)*; Brian Matejek (SRI International); Daniel Haehn (University of Massachusetts Boston)
Multi-Modal Input Integration Using Convolutional Neural Networks to Predict CRISPRi Efficacy
Renee Napoliello (University of California, Davis)*; Lucas Ferns (University of California, Davis); Hongru Hu (UC Davis); Lacey Walker (University of California, Davis); Gerald Quon (University of California, Davis)
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH)*; Khurram Azeem Hashmi (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH); Didier Stricker (DFKI); Muhammad Zeshan Afzal (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH)
Diffusion-Based In-painting of Corrupted Spectrogram
Mahsa Massoud (McGill University)*; Reyhane Askari Hemmat (Meta); Kai-Feng Chen (MIT); Adrian Liu (McGill University); Siamak Ravanbakhsh (McGill - Mila)
Thinking Big: A LLM Approach to Brain Size Genetics
Claire Hsieh (University of California, Davis)*; Gerald Quon (University of California, Davis); Siddhant Sanghi (University of California, Davis)
LEMoN: Label Error Detection using Multimodal Neighbors
Aparna Balagopalan (MIT)*; Haoran Zhang (MIT); Nassim Oufattole (MIT); Hyewon Jeong (MIT); Jiacheng Zhu (MIT); Marzyeh Ghassemi (MIT)
Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset
Man Luo (Arizona State University)*; Bradley Peterson (Arizona State University); Rafael Gan (Arizona State University); Hari Ramalingame (Arizona State University); Navya Gangrade (Arizona State University); Ariadne Dimarogona (Arizona State University); Imon Banerjee (Mayo Clinic); Phillip Howard (Intel Labs)
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
Marah Ghoummaid (Technion)*; Uri Shalit (Technion)
Self-supervised Visualisation of Microscopy Datasets
Ifeoma Nwabufo (University of Tübingen)*; Jan Böhm (University of Tübingen); Philipp Berens (University of Tübingen); Dmitry Kobak (University of Tübingen)
DINGO: Neural Posterior Estimation for Gravitational Waves
Annalena Kofler (Max Planck Institute for Intelligent Systems, Tübingen)*; Maximilian Dax (MPI for Intelligent Systems, Tübingen); Stephen Green (University of Nottingham); Jonas Wildberger (Max Planck Institute for Intelligent Systems, Tübingen); Nihar Gupte (Max Planck Institute for Gravitational Physics); Jonathan Gair (Max Planck Institute for Gravitational Physics); Michael Puerrer (University of Rhode Island); Jakob Macke (University of Tuebingen); Alessandra Buonanno (Max Planck Institute for Gravitational Physics); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)
Text-Image Concept Human Alignment Dataset and Metric
Maria Bravo (University of Freiburg)*
Accepted Abstracts/Posters (cannot be presented in person)
Investigating and building a hybrid model for predicting and forecasting floods
Bibiane Danielle Nguemtchueng Tsemo (HydroAs)*; Freddy HOUNNONDAHO (HydroAs); FOUTSE YUEHGOH (Paris Saclay)
Multimodal Fusion Strategies in Eye Disease Diagnosis
Sara EL-ATEIF (ENSIAS)*; Ali Idri (University Mohamed V)
Graph Neural Networks with Model-based Reinforcement Learning for Multi-object Systems
Hanxiao Chen (Harbin Institute of Technology)*
Automatic detection of fake online reviews using Machine Learning Models
Sodanou Clervie Sandrine SOME (Multinational Higher School of Telecommunications)*
Classification of Intestinal Parasitic Infections in humans in Low_Cost Microscopic Images Using Transfer Learning on ensemble machine learning models
Oladunni Adekunle (Olabisi Onabanjo University, Ago-Iwoye )*; Sakinat Folorunso (Olabisi Onabanjo university)
Text-guided Transient Attribute Transfer
Fazilet Gokbudak (University of Cambridge)*; A. Cengiz Oztireli (University of Cambridge, Google)
Iterative Informal Settlement Detection and Mapping on VHR Satellite Imagery
Meenakshi Nair (Mission San Jose High School)*; Nitya Mani (Massachusetts Institute of Technology)
Bilingual Lexical Induction for Low Resource Languages
Charitha Rathnayaka (University of Moratuwa)*; Surangika Ranathunga (University of Moratuwa); Ridmi Thilakarathna (University of Moratuwa); Uthpala Nethmini (University of Moratuwa)
LLM Privacy Guard
Shubhi Asthana (IBM Research - Almaden)*; Bing Zhang (IBM Research); Ruchi Mahindru (IBM Watson Research Center); Chad Deluca (IBM Research); Anna Lisa Gentile (IBM Research); Pawan Chowdhary (IBM Research - Almaden); Guang-Jie Ren (IBM)
On the Impact of Bounded Rationality in Strategic Data Gathering
Anju Anand (Binghamton University)*; Emrah Akyol (SUNY)
Post hoc explanations of RNNs for univariate time series data using deterministic finite state automata
Gargi Gupta (TUD )*
Are Expert-Level Language Models Expert-Level Annotators?
Yu-Min Tseng (National Taiwan University)*; Wei-Lin Chen (National Taiwan University; University of Virginia); Chung-Chi Chen (AIST, Japan); Hsin-Hsi Chen (National Taiwan University)
List of Reviewers
Aastha Jhunjhunwala (NVIDIA)
Abdulganiyu Jimoh (University Mohammed VI Polytechnic)
Abeer Sanyour (IIT BHU Varanasi)
Abhijeet Parida (Childrens National Hospital)
Adenrele A. Afolorunso (national open university of Nigeria)
Adiba M Proma (University of Rochester)
Ainaz Jamshidi (University of Maryland Baltimore County)
Ajinkya Kale (Adobe)
Akanksha Ahuja (University of Cambridge)
Akshata Mohair (Microsoft)
Akshita Ramya Kamsali (Purdue University)
Akua S Osei-Nkwantabisa (UNIVERSITY OF TEXAS RIO GRANDE VALLEY)
Alaleh Ahmadianshalchi (Washington State University)
Amanda M Buch (Weill Cornell Medicine, Cornell University)
Amelia Jiménez-Sánchez (IT University of Copenhagen)
AMINA SALIFU (Kwame Nkrumah University of science and Technology)
Amit Agarwal (Oracle)
Amit Reza (Space Research Institute (IWF) of Austrian Academy of Sciences)
Amitis Shidani (University of Oxford)
Aneri D Muni (Mila Quebec AI Institute / Université de Montréal)
Anissa Alloula (University of Oxford)
Anna Min (Tsinghua University)
Annie S Ulichney (UC Berkeley)
Annine Duclaire Kenne (University Linz, Linz, Austria)
Anoush Najarian (MathWorks)
Antony Ndolo (Karadeniz Technical University)
Anuradha Uggi (Indian Institute of Technology Hyderabad)
Anushka Sanjay Shelke (Indian Institute of Science Education and Research (IISER) Bhopal)
Aparna Balagopalan (MIT)
Arunaggiri Pandian Karunanidhi (Micron Technology)
Asma Zizaan (Mohammed VI Polytechnic university)
Aswath Muthuselvam (University of Maryland - College Park)
Avery Hee-Woon Ryoo (Mila)
Ayda Sultan (nan)
Ayesha Anzer (University of Regina)
Benjamin Schäfer (Karlsruhe Institute of Technology)
berhanu bogale desta (Bahir Dar university)
Bhargava Kumar (TD Securities)
Bibiane Danielle Nguemtchueng Tsemo (HydroAs)
Bingshan Hu (University of Alberta)
Chamani Shiranthika Jayakody Kankanamalage (Simon Fraser University)
Chang Ge (University of Michigan)
Chathurangi Shyalika Jayakody Kankanamalage (University of South Carolina)
Chaymae Bennouri (No)
Chhavi Yadav (UCSD)
Chi-en A Tai (University of Waterloo)
Chirag Agarwal (University of Virginia)
Chisom Chibuike (University of Nigeria)
Christianah T Oyewale (School of Collective Intelligence, Mohammed VI Polytechnic University, Morocco)
Christina Elisabeth Winkler (Mila)
Claudia Melis Tonti (Sapienza, University of Rome)
Comfort O. Akanni (Olabisi Onabanjo University)
Dania Humaidan (University Hospital Tuebingen and Hertie Institute for Clinical Brain Research)
Daniel Capellán-Martín (Universidad Politécnica de Madrid)
Daniela Teodorescu (University of Alberta)
Danika Gupta (The Harker Upper School)
Daxelle Sakubu (University of Burundi)
Deeksha Varshney (National University of Singapore)
Deepak Mishra (IIST)
Deepti Gupta (Texas A&M University-Central Texas)
Divya Sitani (DZNE e.V)
Divyasree Tummalapalli (Intel Corporation)
DONGMO WANDJI CHELSIE CAREL (National Advanced School of Engineering Yaoundé)
Dr Shiv KUMAR Verma (Sharda University)
Eleanor A Watson (University of Gloucestershire)
Ellyn Ayton (Pacific Northwest National Laboratory)
Emily Leventhal (Icahn School of Medicine at Mount Sinai)
Emma Prevot (University of Oxford)
Emrah Akyol (SUNY)
Eshta Bhardwaj (University of Toronto)
Faiza Bukhsh (University of Twente)
Farwa Iftikhar (Impel)
Fatemeh Amerehi (University of Limerick)
Fatemeh Shokrollahi (Universiti Teknologi PETRONAS)
Fazilet Gokbudak (University of Cambridge)
Fiona Victoria Stanley Jothiraj (University of Washington Bothell)
Fiorella Wever (University of Amsterdam)
Flora O Oladipupo (Data Scientists Network)
Folake Akinbohun (Rufus Giwa Polytechnic, Owo)
FOUTSE YUEHGOH (Paris Saclay)
Freddy Z HOUNNONDAHO (HydroAs)
Gabriel Agbobli (University of Ghana)
Guna Sekhar Sajja (University of the Cumberlands)
Hadeer El Ashhab (KIT)
Hager Radi Abdelwahed (Mila: Quebec AI Institute)
Hallah Butt (Karlsruhe Institute of Technology)
Hamsa Shwetha Venkataram (Jet Propulsion Laboratory)
Hana Mekonen Tamiru (Haramaya University)
Harini S (BIA)
Harlin Lee (University of North Carolina at Chapel Hill)
Harsha Kokel (IBM Research)
Henriette Flore KENNE (University of Massachusetts Lowell)
Hitesh Laxmichand Patel (Oracle)
Hulda Sakyi (International Fertilizer Development Center)
Hung Yun Tseng (University of Wisconsin Madison)
Hyeonah Kim (KAIST)
Hyewon Jeong (MIT)
Imama Ali (NIO)
IMANE BRIKI (Mohammadia School Of Engineers)
Indra Priyadarsini S (IBM Research)
Isha Shah (Walmart)
Ishita Mangla (Stanford University)
Ishita Mediratta (BITS Pilani K.K. Birla Goa Campus)
Ishmeet Kaur (Apple)
Ismat Jarin (University of California, Irvine)
Jagannatham JJ Jahnavi (Christ University)
James J. Clark (McGill University)
Janhavi Agrawal (The Trade Desk)
Jasleen Dhillon (-)
Jason S Hartford (Mila)
Jayashree T R (Manipal Institute of Technology, Manipal)
JEAN Mrs. AMUKWATSE (Living Goods)
Jiaming Zeng (Google)
Jiaul Paik (IIT Kharagpur)
Jiawen Wei (National University of Singapore)
JIBY MARIYA JOSE (INDIAN INSTITUTE OF INFORMATION TECHNOLOGY KOTTAYAM)
Joan Arimpa (Makerere University)
Johanna Devaney (Brooklyn College)
Jonathan Wenger (Columbia University)
Jovita N Mateus (Namibia University of Science and Technology)
Julia Olkhovskaya (TU Delft)
Justine Nasejje (University of Witwatersrand)
Juyeon Heo (Juyeon)
Karen DSouza (Purdue University)
Kasturi Bhattacharjee (AWS AI, Amazon)
Katherine Metcalf (Apple, Inc.)
Kaustubha Vecham (Microsoft)
Kavya Gupta (Centralesupelec)
Kavya Ravichandran (Toyota Technological Institute at Chicago)
KE WANG (University of Edinburgh)
Khaoula Chehbouni (McGill University, Mila)
Kimberly T Mai (University College London)
Konstantinos Zygalakis (University of Edinburgh)
Krishan Agyakari Raja Babu (Indian Institute of Technology Madras)
Kristina Ulicna (Valence Labs | Recursion Pharma)
Kuan-Ting Chen (National Taiwan University)
Kusumakumari Vanteru (Target)
Lalitha Sankar (Arizona State University)
Latifa Errami (um6p)
Lavanya Gupta (JPMorgan Chase & Co.)
Leo Bujdei-Leonte (University of Oxford)
Lili Wu (Microsoft)
Lincy Pattanaik (Bytedance)
Ling Xiao (The university of Tokyo)
Linoy Tsaban (Hugging Face)
Lisa Liu (Stanford)
Lucia E Berger (Microsoft)
Lucia Cipolina-Kun (University of Bristol)
Maartje A ter Hoeve (Apple)
Maikey Zaki Khorani (Salahaddin University/ College of Engineering)
Maisha Binte Rashid (Baylor University)
Maja Micevska (Vrije Universiteit Brussel)
Manasa Mariam Mammen (University of Stuttgart)
Maneo M Lesotho (Girls Coding Academy)
Mansi Uniyal (Microsoft)
Manya Wadhwa (UT Austin)
Marleny Hilasaca (University of Sao Paulo)
Matthias Hertel (KIT)
Meghana Puvvadi (AWS, Adobe, Nvidia)
Meng Du (UCLA/Intel Labs)
Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich)
Michael Melese Woldeyohannis (Addis Ababa University, Addis Ababa, Ethiopia)
Mikel K Ngueajio (Howard University)
Ming Yin (Princeton University)
Minhae Kwon (Soongsil University)
Minyechil Alehegn tefera (NTUT)
Mirto Gasparinatou (Ionian University)
Moseli Mots'oehli (University of Hawai`i at Mānoa)
Mozhgan Saeidi (Stanford University)
Mozhgan Saeidi (Stanford University)
MUHAMMAD AMIN NADIM (University of Telepegaso,Rome,Italy)
Munazza Zaib (Monash University)
Naa Korkoi Addo (University of Limerick)
Namita Bajpai (IIT kharagpur)
Namrata Nadagouda (Georgia Institute of Technology)
Narmada M Balasooriya (Memorial University of Newfoundland)
Narmada Naik (dātma Health Science)
Nastassya Horlava (Max Planck Computing and Data Facility)
Natalie Schluter (Apple)
Nausheen Basha (Imperial College London)
Naw Safrin Sattar (Oak Ridge National Laboratory)
Nazreen Shah (Indraprastha Institute of Information Technology, Delhi)
Neelanjana Pal (MathWorks Inc.)
Nico L Cavalcanti Jr (Universidade Federal de Pernambuco)
Niha Beig (Case Western Reserve University)
Nikhil Akalwadi (CEVI, KLE Technological University)
Nikita Saxena (Google Deepmind)
Niruthiha Selvanayagam (Northeastern University)
Nsubuga D Denise (Uganda Technology and Management University)
Odunayo Esther Oduntan (Chrisland University Abeokuta, Nigeria)
Olawumi R Olasunkanmi (University of North Carolina at Chapel Hill)
Oluwakemi Rukayat Giwa (Olabisi Onabanjo University Ago-Iwoye)
Oshin Dutta (Indian Institute of Technology, Delhi)
Otasowie Iyare (Federal university of technology, Akure)
Oumnia Ennaji (UM6P)
Ozge Nilay Yalcin (Simon Fraser University)
Padideh Nouri (Mila)
Patience Kasawala (Mzuzu University)
Pavana Pradeep (Temple university)
PETER APPIAHENE (UNIVERSITY OF ENERGY AND NATURAL RESOURCES)
POOJA Ms SONI (M.B.M. UNIVERSITY-JODHPUR)
Poorva G Rane (Google DeepMind)
Pragya Singh (IIIT-Delhi)
Prajvi Saxena (DFKI)
Precious Msonda (Mzuzu University)
Prince Mireku (C.K. Tedam University of Technology and Applied Sciences)
Priscilla Adong (University College Dublin)
Priti Gurung (Howard University)
Priya S Talwalkar (BMC Software)
Priyaranjan Pattnayak (Oracle)
Purity Mugambi (University of Massachusetts, Amherst)
Qiao Zhang (Georgia Institute of Technology)
Rafiat M BAMIMORE AKODU (Mohammed VI Polytechnic University)
Rahel Mekonen Tamiru (Ethiopian Artificial Intelligence Institute)
Rania Ibrahim (Purdue University)
Ranjitha Prasad (Indraprastha Institute of Information Technology Delhi)
Raquel Y. da S. Aoki (Simon Fraser University)
Rashidat Sikiru (Data Science Nigeria)
Rezvan Sherkati (McGill University)
Risuna RW Nkolele (University of South Africa)
Rohith Peddi (The University of Texas at Dallas)
Rokhaya Diagne (Dakar American University of Science and Technology)
Ronay Ak (NVIDIA)
Roseline Oluwaseun Ogundokun (Landmark University Omu Aran, Kwara State)
Rose-Mary Owusuaa Mensah Gyening (Kwame Nkrumah University of Science and Technology)
Roshni Sahoo (Stanford University)
Sadura Priscilla Akinrinwa (The Federal University of Technology, Akure)
sai arava (Adobe)
Sakinat O Folorunso (Olabisi Onabanjo university)
samar elbedwehy (kafrelsheikh)
Sampada M Malagi (KLE TECHNOLOGICAL UNIVERSITY)
Samridha Murali (University of Maryland)
Sana Alamgeer (Universidade de Brasilia, Brazil)
Sanaz Saki Norouzi (Kansas State University)
Santhoshi Ravichandran (University of Montreal (MILA))
Santosh Reddy Addula (University of the Cumberlands)
Sara Babakniya (University of Southern California)
Sara El Mekkaoui (DNV)
Sara EL-ATEIF (ENSIAS)
Sasha Luccioni (Mila)
Seani S Rananga (University of Pretoria)
Sejuti Rahman (University of Dhaka)
Selameab Demilew (Korenti Craft Technologies)
Serah Sessi Akojenu (Data Scientists Network)
shailja thakur (university of waterloo)
Shanu Sushmita (Northeastern University)
Sharvaree Vadgama (University of Amsterdam)
Shelly Gupta (Temple University)
Shikha Surana (InstaDeep)
Shiva Minne Esna Ashari (Elicit)
Shixin Zhuang (MathWorks)
Shreya Bhowmick Banerjee (University of New Orleans)
Shreya Johri (Harvard Medical School)
Shruti Tyagi (K.J. Somaiya College of Engineering)
Shubhada Agrawal (CMU)
Shubham Ojha (Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center)
Shubhi Asthana (IBM Research - Almaden)
sidra aleem (Dublin City University)
sirisha nallakukkala (Sri Sivasubramaniya Nadar college of engineering)
Smitha Muthya Sudheendra (University of Minnesota)
Sodanou Clervie Sandrine SOME (Multinational Higher School of Telecommunications)
Sofanit Wubeshet Beyene (Seoul National University of Science and Technology)
Sofia Bourhim (Mohammed V University - ENSIAS)
Soukaina Boujdi (Université de Québec à Rimouski (UQAR))
Soumya Snigdha Kundu (King's College London)
Sri Sri Perangur (Skyscanner)
Sridevi Bonthu (Vishnu Institute of Technology)
Srilekha Vinjamara (JP Morgan Chase & Co.)
Steven Fernandes (Creighton University)
Sudeshna Das (Emory University)
sujin yun (KAIST)
Sumaiya Tabassum Nimi (University of Missouri Kansas City)
Sumit Ranjan (Adobe)
Supatta Viriyavisuthisakul (Panyapiwat Institute of Management)
Suprith S (IIT Madras)
Surangika Ranathunga (University of Moratuwa)
Surbhi Rathore (University of Rhode Island)
Susana López-Moreno (Pusan National University)
Swati Mali (K J Somaiya College of Engineering)
Swati Rajwal (Emory University)
Sydney Dolan (Massachusetts Institute of Technology)
Syeda Nyma Ferdous (West Virginia University)
Tabea M. G. Pakull (University Hospital Essen)
Taiba Majid (Sapienza University of Rome)
Tania Lorido-Botran (Independent Researcher)
Tejas Anvekar (KLE Technological University)
Tejasri Nampally (Indian Institute of Technology Hyderabad Telangana India)
Teresa Klatzer (University of Edinburgh)
Theofrida Julius Maginga (University of Rwanda)
Theresa C. Zueger (Alexander von Humboldt Institute for Internet and Society)
Tiffany Ding (University of California, Berkeley)
Tolani Mrs Femi-Oladele (Bowen University, Iwo)
TOLULOPE CHRISTIANA ERINOSHO (Federal University of Agriculture, Abeokuta, Nigeria)
Toshihiko Yamasaki (The University of Tokyo)
Tz-Ying Wu (Intel Labs)
Udita Patel (Amazon)
Ujwala Patil (KLE Technological University)
V Gurucharan (Collaborative Dynamics)
Vanessa I Cedeno-Mieles (University of Virginia)
Vasiliki Tassopoulou (University of Pennsylvania)
Vatsala Nema (IISER Bhopal)
victoria sitati (Dedan Kimathi university of technology)
Vidhya Kamakshi (National Institute of Technology Calicut)
Vishwali Mhasawade (New York University)
Vivian Magri Alcaldi Soares (University of São Paulo)
Wesagn D Chemma (Addis Ababa University)
Wolfgang Maass (DFKI)
Xueqian Li (The University of Adelaide)
Yash More (McGill University)
Yashaswini Viswanath (Reva University)
Yinan Wang (McGill University)
YI-Ting Hsiao (University of Michigan)
Yixiao Kang (University of California, Berkeley)
Yosra Kazemi (Queens' University)
Yun Taeyoung (KAIST)
Yutong Zhou (Leibniz Centre for Agricultural Landscape Research (ZALF))
zahra batool (École de technologie supérieure)
Zahra Hafezi Kafshgari (Simon Fraser University)
Zairah Mustahsan (You.com)
Zeinab Abboud (Polytechnique Montreal)
Zeyan Liu (University of Kansas)
Zijin Gu (Apple)
Ziqing Yang (CISPA Helmholtz Center for Information Security)