Papers

Award Winners

PMLR Proceedings

(coming soon)

Accepted Papers

Performance of Zero-Shot Time Series Foundation Models on Cloud Data William Toner, Thomas L Lee, Artjom Joosen, Rajkarn Singh, Martin Asenov (Poster)

Rethinking Evaluation for Temporal Link Prediction through Counterfactual Analysis Aniq Ur Rahman, Alexander Modell, Justin Coon (Poster)

Do Not Overestimate Black-box Attacks Han Wu, Sareh Rowlands, Johan Wahlstrom (Poster)

Possibility for Proactive Anomaly Detection Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park (Poster)

Not constructing Ramsey Graphs using Deep Reinforcement Learning David Berghaus (Poster)

Challenges of Multi-Modal Coreset Selection for Depth Prediction Viktor Moskvoretskii, Narek Alvandian (Poster)

Fantastic Allosteric Binding Sites and Why Deep Learning Cannot Find Them Dhvani S. Vora, Shashank Yadav (Poster)

Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions Vikramjit Mitra, Amrit Romana, Dung Tran, Erdrin Azemi (Poster)

From Fog to Failure: The Unintended Consequences of Dehazing on Object Detection in Clear Images Ashutosh Kumar, Aman Chadha (Poster)

On the Power of Heuristics in Temporal Graphs Filip Cornell, Oleg Smirnov, Gabriela Zarzar Gandler, Lele Cao (Poster)

An Integrated YOLO and VLM System for Fire Detection in Enclosed Environments Joanne Kim, Yejin Lee, DongSik Yoon, Chansung Jung, Gunhee Lee (Poster)

Are We Really Unlearning? The Presence of Residual Knowledge in Machine Unlearning Hsiang Hsu, Pradeep Niroula, Zichang He, Chun-Fu Chen (Poster)

Bridging the Language Gap: Evaluating Machine Translation for Animal Health in Low-Resource Settings Godwin Adegbehingbe, Anthony Soronnadi, Ife Adebara, Olubayo Adekanmbi (Poster)

On the Limits of Applying Graph Transformers for Brain Connectome Classification Jose Miguel Lara Rangel, Clare Elizabeth Heinbaugh

Lost-in-distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai (Poster)

Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan (Poster)

On the Role of Structure in Hierarchical Graph Neural Networks Luca Sbicego, Sevda Öğüt, Manuel Madeira, Yiming QIN, Dorina Thanou, Pascal Frossard (Poster)

Impact of Task Phrasing on Presumptions in Large Language Models Kenneth J. K. Ong (Poster)

Last Layer Empirical Bayes Valentin Villecroze, Yixin Wang, Gabriel Loaiza-Ganem (Poster)

Graph Networks Struggle with Variable Scale Christian Koke, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers (Poster)

How Effective Are AI Models in Translating English Scientific Texts to Nigerian Pidgin: A Low-resource Language? Flora Oladipupo, Anthony Soronnadi, Ife Adebara, Olubayo Adekanmbi (Poster)

Overtrained Language Models Are Harder to Fine-Tune Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan (Poster)

In Search of Forgotten Domain Generalization Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel

Data Mixing can Induce Phase Transitions in Knowledge Acquisition Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang (Poster)

On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan, Abhijith Sharma, Chong Tian, Salem Lahlou (Poster)

On the Limitations of Neural Networks for Option Pricing: Analysis of Volatility Regime Sensitivity Tarun Raheja, Nilay Pochhi

Challenges of Decomposing Tools in Surgical Scenes Through Disentangling The Latent Representations Sai Lokesh Gorantla, Raviteja Sista, Apoorva Srivastava, Utpal De, Partha Pratim Chakrabarti, Debdoot Sheet (Poster)

On the Limitations of LLM-Synthesized Social Media Misinformation Moderation Sahajpreet Singh, Jiaying Wu, Svetlana Churina, Kokil Jaidka (Poster)