Elias B. Khalil

University of Toronto — Canada

Computer Science · Physical Sciences

20h-index2.9kcitations69works2.02yr avg
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Research Topics

Machine Learning and Algorithms(8), Vehicle Routing Optimization Methods(7), Constraint Satisfaction and Optimization(7), Multimodal Machine Learning Applications(5), Machine Learning and Data Classification(5)

Publications69 total

Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation
BMJ Health & Care Informatics·2026Open Access
Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study
JMIR Medical Informatics·2025· 7 citedOpen Access
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
Reinforcement learning with combinatorial actions for coupled restless bandits
arXiv (Cornell University)·2025Open Access
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
arXiv (Cornell University)·2025Open Access
Neural Networks Accurately Predict Precise Metrics of Hospital Resource Utilization for Total Hip Arthroplasty: A Retrospective Database Study
2025· 1 citedOpen Access
Machine Learning to Predict-Then-Optimize Elective Orthopaedic Surgery Scheduling Improves Operating Room Utilization: A Retrospective Study (Preprint)
2025
Image‐based prediction of residential building attributes with deep learning
Journal of Industrial Ecology·2024· 6 citedOpen Access
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
arXiv (Cornell University)·2024Open Access
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
arXiv (Cornell University)·2024Open Access
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks
arXiv (Cornell University)·2024Open Access
Machine Learning for Optimization-Based Separation of Mixed-Integer Rounding Cuts
arXiv (Cornell University)·2024· 1 citedOpen Access
Machine Learning to Predict-Then-Optimize Elective Orthopaedic Surgery Scheduling Improves Operating Room Utilization
2024Open Access
PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming
Mathematical Programming Computation·2024· 20 cited
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify
arXiv (Cornell University)·2024Open Access
Neur2BiLO: Neural Bilevel Optimization
arXiv (Cornell University)·2024· 2 citedOpen Access
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams
Lecture notes in computer science·2024· 1 cited
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
Lecture notes in computer science·2024
Pierce: A Testing Tool for Neural Network Verification Solvers
Lecture notes in computer science·2024· 1 cited
Neur2BiLO: Neural Bilevel Optimization
2024· 1 citedOpen Access
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Frequent Co-authors

Bistra Dilkina(9), Andrea Lodi(8), Le Song(4), Arnaud Deza(4), George L. Nemhauser(3), Aazad Abbas(3), Johnathan R. Lex(3), Bheeshma Ravi(3), Cari Whyne(3), Maxime Gasse(3), Yoshua Bengio(3), Justin Dumouchelle(3), Yudong Xu(3), Scott Sanner(3), Hanjun Dai(2), Yuyu Zhang(2), Quentin Cappart(2), Didier Chételat(2), Christopher Morris(2), Petar Veličković(2)