Khalil, Elias B

14 publications

AAAI 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

NeurIPS 2024 Neur2BiLO: Neural Bilevel Optimization Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil

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

AAAI 2023 Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus Yudong Xu, Elias B. Khalil, Scott Sanner

IJCAI 2023 Machine Learning for Cutting Planes in Integer Programming: A Survey Arnaud Deza, Elias B. Khalil

AAAI 2023 Recent Developments in Data-Driven Algorithms for Discrete Optimization Elias B. Khalil

AAAI 2023 Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto Weimin Huang, Elias B. Khalil

AAAI 2022 Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

AAAI 2022 MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias B. Khalil, Christopher Morris, Andrea Lodi

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

ICLR 2019 Combinatorial Attacks on Binarized Neural Networks Elias B Khalil, Amrita Gupta, Bistra Dilkina

IJCAI 2017 Learning Feature Engineering for Classification Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga

IJCAI 2017 Learning to Run Heuristics in Tree Search Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao

IJCAI 2016 Machine Learning for Integer Programming Elias B. Khalil