Elias B. Khalil

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Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCVerified email at usc.edu
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Andrea LodiCornell Tech and Technion -- IITVerified email at cornell.edu
George NemhauserProfessor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Hanjun DaiGoogle DeepMindVerified email at google.com
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Bo TangPh.D Student of University of TorontoVerified email at mie.utoronto.ca
Cari WhyneVerified email at sunnybrook.ca
Pierre Le BodicSenior Lecturer in the faculty of IT, Monash UniversityVerified email at monash.edu
Petar VeličkovićSenior Staff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgeVerified email at google.com
Quentin CappartAssociate Professor at Polytechnique MontrealVerified email at polymtl.ca
Pashootan VaezipoorUniversity of TorontoVerified email at cs.toronto.edu
Justin DumouchellePhD Student, University of TorontoVerified email at mail.utoronto.ca
Rakshit TrivediMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Shabbir AhmedProfessor of Industrial & Systems Engineering, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Rahul PatelPhD Student, University of TorontoVerified email at mail.utoronto.ca
Amrita GuptaConservation Science PartnersVerified email at gatech.edu
Merve BodurSchool of Mathematics, University of EdinburghVerified email at ed.ac.uk

Elias B. Khalil

Assistant Professor, University of Toronto

Verified email at mie.utoronto.ca - Homepage

discrete optimization machine learning integer programming


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning combinatorial optimization algorithms over graphs E Khalil, H Dai, Y Zhang, B Dilkina, L Song Advances in neural information processing systems 30, 2017	1937	2017
Learning to Branch in Mixed Integer Programming EB Khalil, P Le Bodic, L Song, G Nemhauser, B Dilkina AAAI, 2016	506	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	456	2023
Learning Feature Engineering for Classification. F Nargesian, H Samulowitz, U Khurana, EB Khalil, DS Turaga Ijcai 17, 2529-2535, 2017	404	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	238	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	221	2017
Learning to Run Heuristics in Tree Search. EB Khalil, B Dilkina, GL Nemhauser, S Ahmed, Y Shao Ijcai 2017, 659-666, 2017	186	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	166	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	164	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	99	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	76	2021
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	68	2022
Llms and the abstraction and reasoning corpus: Successes, failures, and the importance of object-based representations Y Xu, W Li, P Vaezipoor, S Sanner, EB Khalil arXiv preprint arXiv:2305.18354, 2023	63	2023
Combinatorial attacks on binarized neural networks EB Khalil, A Gupta, B Dilkina International Conference on Learning Representations, 2019	58	2019
Pyepo: A pytorch-based end-to-end predict-then-optimize library for linear and integer programming B Tang, EB Khalil Mathematical Programming Computation 16 (3), 297-335, 2024	57*	2024
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	54	2016
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	51	2022
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	47	2022
The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022	47	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	46	2015

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