Chételat, Didier

11 publications

AISTATS 2025 InnerThoughts: Disentangling Representations and Predictions in Large Language Models Didier Chételat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates

ICLRW 2025 Refining Answer Distributions for Improved Large Language Model Reasoning Soumyasundar Pal, Didier Chételat, Yingxue Zhang, Mark Coates

IJCAI 2025 The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan

AISTATS 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian, Didier Chételat, Christopher Morris

JMLR 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković

NeurIPS 2022 Learning to Branch with Tree MDPs Lara Scavuzzo, Feng Chen, Didier Chetelat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen Aardal

NeurIPS 2022 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi

TMLR 2022 Lookback for Learning to Branch Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar

IJCAI 2021 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic

NeurIPSW 2020 Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi

NeurIPS 2019 Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse, Didier Chetelat, Nicola Ferroni, Laurent Charlin, Andrea Lodi