Khalil, Elias Boutros

11 publications

ICLRW 2025 End-to-End Synthesis of Neural Programs in Weight Space Wenhao Li, Yudong Xu, Elias Boutros Khalil, Scott Sanner

ICLR 2025 Reinforcement Learning with Combinatorial Actions for Coupled Restless Bandits Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe

ICML 2025 Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction Yudong Xu, Wenhao Li, Scott Sanner, Elias Boutros Khalil

TMLR 2025 Tackling the Abstraction and Reasoning Corpus with Vision Transformers: The Importance of 2D Representation, Positions, and Objects Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil

TMLR 2024 LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-Based Representations Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil

ICLR 2024 Neur2RO: Neural Two-Stage Robust Optimization Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil

TMLR 2022 Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil

NeurIPSW 2022 Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus Yudong Xu, Elias Boutros Khalil, Scott Sanner

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

NeurIPSW 2022 PyEPO: A PyTorch-Based End-to-End Predict-Then-Optimize Library with Linear Objective Function Bo Tang, Elias Boutros Khalil

AAAI 2016 Learning to Branch in Mixed Integer Programming Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina