Elias B. Khalil
Elias B. Khalil
Assistant Professor, University of Toronto
Verified email at - Homepage
Cited by
Cited by
Learning combinatorial optimization algorithms over graphs
E Khalil, H Dai, Y Zhang, B Dilkina, L Song
Advances in neural information processing systems 30, 2017
Learning to Branch in Mixed Integer Programming
EB Khalil, P Le Bodic, L Song, G Nemhauser, B Dilkina
AAAI, 2016
Combinatorial optimization and reasoning with graph neural networks
Q Cappart, D Chételat, EB Khalil, A Lodi, C Morris, P Veličković
Journal of Machine Learning Research 24 (130), 1-61, 2023
Learning Feature Engineering for Classification.
F Nargesian, H Samulowitz, U Khurana, EB Khalil, DS Turaga
Ijcai 17, 2529-2535, 2017
The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation
W Zhang, S Guhathakurta, EB Khalil
Transportation Research Part C: Emerging Technologies 90, 156-165, 2018
Fake news mitigation via point process based intervention
M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha
International conference on machine learning, 1097-1106, 2017
Learning to Run Heuristics in Tree Search.
EB Khalil, B Dilkina, GL Nemhauser, S Ahmed, Y Shao
Ijcai, 659-666, 2017
Scalable diffusion-aware optimization of network topology
EB Khalil, B Dilkina, L Song
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Hybrid models for learning to branch
P Gupta, M Gasse, E Khalil, P Mudigonda, A Lodi, Y Bengio
Advances in neural information processing systems 33, 18087-18097, 2020
Systems and methods for using event-correlation graphs to detect attacks on computing systems
K Roundy, F Guo, S Bhatkar, T Cheng, J Fu, ZK Li, D Shou, S Sawhney, ...
US Patent 9,141,790, 2015
Learning to schedule heuristics in branch and bound
A Chmiela, E Khalil, A Gleixner, A Lodi, S Pokutta
Advances in Neural Information Processing Systems 34, 24235-24246, 2021
Generating graph snapshots from streaming edge data
S Soundarajan, A Tamersoy, EB Khalil, T Eliassi-Rad, DH Chau, ...
Proceedings of the 25th international conference companion on world Wide Web …, 2016
Combinatorial attacks on binarized neural networks
EB Khalil, A Gupta, B Dilkina
International Conference on Learning Representations, 2019
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
EB Khalil, C Morris, A Lodi
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022
Systems and methods for adjusting suspiciousness scores in event-correlation graphs
A Tamersoy, K Roundy, S Bhatkar, E Khalil
US Patent 9,148,441, 2015
Classification of driver cognitive load: Exploring the benefits of fusing eye-tracking and physiological measures
D He, Z Wang, EB Khalil, B Donmez, G Qiao, S Kumar
Transportation research record 2676 (10), 670-681, 2022
Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty
A Abbas, J Mosseri, JR Lex, J Toor, B Ravi, EB Khalil, C Whyne
International journal of medical informatics 158, 104670, 2022
CP-ORTHO: An orthogonal tensor factorization framework for spatio-temporal data
A Afshar, JC Ho, B Dilkina, I Perros, EB Khalil, L Xiong, V Sunderam
Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017
Pyepo: A pytorch-based end-to-end predict-then-optimize library for linear and integer programming
B Tang, EB Khalil
Mathematical Programming Computation, 1-39, 2024
CuttingEdge: Influence Minimization in Networks
E Khalil, B Dilkina, L Song
Frontiers of Network Analysis: Methods, Models, and Applications, 2013
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