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ILLS Workshop – September 9th-10th, 2024
ILLS Workshop – September 9th-10th, 2024
Join us for two days of insightful discussions and presentations covering cutting-edge research in AI and machine learning. The workshop will feature keynote talks from renowned experts, technical sessions, and interactive brainstorming sessions.
Monday, September 9th: The day kicks off with an invited talk by Alexandre Muzy (CNRS) on Neurosciences and AI, followed by a session of pitches on machine learning and neural networks. The afternoon begins a invited talk by Ulrich Aivodji (ETS) on explainability in AI, followed by a session of pitches on Language, Reasoning, and Explainability in AI. The day concludes with a poster session on recent results and coffee breaks for networking.
Tuesday, September 10th: The second days begins with an invited talk by Loris Marchal (CNRS) on optimizing HPC and ML computations lead into a series of poster presentations on recent results and a session of pitches focused on AI for communications, privacy, and resource management. The day ends with a interesting collaborative brainstorming sessions addressing open challenges in the field.
Monday
September 9th, 2024
September 9th, 2024
Welcome Coffee at 8h30
9h - 9h15
Opening remarks and welcome
Opening remarks and welcome
Pablo Piantanida
9h15 - 10h
Invited Talk - Inferring Individual Internal Models via Cognitive Activity-based Credit Assignment
Invited Talk - Inferring Individual Internal Models via Cognitive Activity-based Credit Assignment
Alexandre Muzy (CNRS)
Coffee break: 10h - 10h30
10h30 - 12h
Session 1 - Machine Learning and Neural Networks: Foundations and Applications
Session 1 - Machine Learning and Neural Networks: Foundations and Applications
10h30 - 10h40
Brain MRI Assessment
Brain MRI Assessment
Farzad Beizaee (ETS)
10h40 - 10h50
Graph Neural Networks
Graph Neural Networks
Liheng Ma (McGill)
10h50 - 11h
Calibration in Medical Image Segmentation
Calibration in Medical Image Segmentation
Balamurali Murugesan (ETS)
11h - 11h10
Few-Shot Learning
Few-Shot Learning
Fereshteh Shakeri (ETS)
11h10 - 11h20
Parameter Efficient Fine Tuning for Medical Image Analysis
Parameter Efficient Fine Tuning for Medical Image Analysis
Ghassen Baklouti (ETS)
11h20 - 11h30
When is an Embedding Model Better than Another?
When is an Embedding Model Better than Another?
Philippe Formont (ETS - UPS / CNRS)
11h30 - 11h40
Spectral Traversal for Improved Image Processing in Mamba Networks
Spectral Traversal for Improved Image Processing in Mamba Networks
Sahar Dastani Oghani (ETS)
11h40 - 11h50
Zero-One-Shot Neural Architecture Search
Zero-One-Shot Neural Architecture Search
Pavel Rumiantsev (McGill)
11h50 - 12h
Multimodal Knowledge Distillation for Histology Images
Multimodal Knowledge Distillation for Histology Images
Banafsheh Karimian (ETS)
Visit of the new ILLS offices: 12h - 12h30
Visit of the new ILLS offices: 12h - 12h30
Lunch break (Pavillon A): 12h30 - 14h00
14h - 14h45
Invited Talk - Manipulation Attacks in Explainable AI
Invited Talk - Manipulation Attacks in Explainable AI
Ulrich Aivodji (ETS)
14h45 - 16h15
Session 2 - Language, Reasoning, and Explainability in AI
Session 2 - Language, Reasoning, and Explainability in AI
14h45 - 14h55
Decoding the Black Box: Explainability and Fairness in Medical Imaging
Decoding the Black Box: Explainability and Fairness in Medical Imaging
Amar Kumar (McGill)
14h55- 15h05
A Task-Agnostic Metric for Summarization
A Task-Agnostic Metric for Summarization
Maxime Darrin (McGill - UPS / CNRS)
15h05- 15h15
Zero-Shot Machine-Generated Text Detection Using Mixture of Large Language Models
Zero-Shot Machine-Generated Text Detection Using Mixture of Large Language Models
Matthieu Dubois (Sorbonne Université / CNRS)
15h15- 15h25
Open-Vocabulary Semantic Segmentation
Open-Vocabulary Semantic Segmentation
Sina Hajimiri (ETS)
15h25- 15h35
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
Heitor Rapela Medeiros (ETS)
15h35- 15h45
Learning in Label-Scarce Scenarios
Learning in Label-Scarce Scenarios
Shambhavi Mishra (ETS)
15h45- 15h55
Neural Architecture Search by Learning the Search Space Hierarchy
Neural Architecture Search by Learning the Search Space Hierarchy
Mehraveh Javan (ETS)
15h55- 16h05
Unsupervised Object Discovery via Image-Text Embedding Alignment
Unsupervised Object Discovery via Image-Text Embedding Alignment
Jose-Fabian Villa-Vasquez (ETS)
16h05- 16h15
Mental and Physical Health through AI-Driven Sleep Analytics
Mental and Physical Health through AI-Driven Sleep Analytics
Boshra Khajehpiri (ETS)
16h15 - 17h15
Coffee break & Poster Session I
Coffee break & Poster Session I
Posters presentations by
Maxime Darrin (McGill - UPS / CNRS)
Philippe Formont (ETS - UPS / CNRS)
Matthieu Dubois (Sorbonne Université / CNRS)
Amar Kumar (McGill)
Tuesday
September 10th, 2024
September 10th, 2024
9h - 9h45
Invited Talk - Mapping and Scheduling Tasks to Optimize HPC and ML Computations
Invited Talk - Mapping and Scheduling Tasks to Optimize HPC and ML Computations
Loris Marchal (CNRS)
9h45 - 10h45
Coffee break & Poster Session II
Coffee break & Poster Session II
Posters presentations by
Liheng Ma (McGill)
Peyman Moeini (McGill)
Balamurali Murugesan (ETS)
Heitor Rapela Medeiros (ETS)
Julio Jose Silva-Rodriguez (ETS)
Hesam Khoshkbari (ETS)
10h45 - 12h35
Session 3 - AI for Communications, Privacy, and Resource Management
Session 3 - AI for Communications, Privacy, and Resource Management
10h45 - 10h55
Faster Distributed LLM Inference Through Distributed Architecture
Faster Distributed LLM Inference Through Distributed Architecture
Félix Wirth (INRIA)
10h55 - 11h05
Information Retrieval Using Generative Models
Information Retrieval Using Generative Models
Arthur Satouf (Air Liquide - UPS / CNRS)
11h05 - 11h15
Abductive Reasoning with Logic Solvers
Abductive Reasoning with Logic Solvers
Joseph Cotnareanu (McGill)
11h15 - 11h25
AI-Driven End-to-End Physical Layer Communications Design
AI-Driven End-to-End Physical Layer Communications Design
Manel Allani (ETS)
11h25 - 11h35
Advanced Transceiver Design for Smart Grid Communications
Advanced Transceiver Design for Smart Grid Communications
Hazem Barka (ETS)
11h35 - 11h45
Resource Allocation in HAPS Integrated Massive MIMO Communications
Resource Allocation in HAPS Integrated Massive MIMO Communications
Hesam Khoshkbari (ETS)
11h45 - 11h55
Flexibility Theory for Anchor-Free Localization
Flexibility Theory for Anchor-Free Localization
Peyman Moeini (McGill)
11h55 - 12h05
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Eric Aubinais (UPS / CNRS)
12h05 - 12h15
Certifying Privacy in Deep Learning
Certifying Privacy in Deep Learning
Zahra Dehghani (ETS)
12h15 - 12h25
Test-Time Adaptation: Adapting to the Unknown on the Fly
Test-Time Adaptation: Adapting to the Unknown on the Fly
Gustavo Adolfo Vargas Hakim (ETS)
12h25 - 12h35
Dynamic 3D Point Cloud Compression
Dynamic 3D Point Cloud Compression
Mamet Erik (ETS - UPS / CNRS)
Lunch break (Pavillon A): 12h35 - 14h
14h - 15h
Open Challenges / Brainstormings 5 Groups
Open Challenges / Brainstormings 5 Groups
coordinated by Florence Robert-Regol (McGill)
coordinated by Florence Robert-Regol (McGill)
Coffee break: 15h - 15h30
15h30 - 16h30
Open Challenges / Brainstormings 5 Groups
Open Challenges / Brainstormings 5 Groups
coordinated by Florence Robert-Regol (McGill)
coordinated by Florence Robert-Regol (McGill)
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