Jacob Kelly

202020212022202320247 22 50 47 41

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David DuvenaudAssociate Professor, University of TorontoVerified email at cs.toronto.edu
Jesse BettencourtUniversity of TorontoVerified email at cs.toronto.edu
Matthew J. JohnsonGoogle BrainVerified email at csail.mit.edu
Will GrathwohlResearch Scientist, DeepmindVerified email at deepmind.com
Erik DrysdaleMachine Learning Specialist, The Hospital for Sick ChildrenVerified email at sickkids.ca
Marta SkretaUniversity of TorontoVerified email at cs.toronto.edu
Aryan ArbabiUniversity of TorontoVerified email at cs.toronto.edu
Dr. Devin SinghPediatric Emergency Physician, Hospital for Sick ChildrenVerified email at sickkids.ca
Michael BrudnoProfessor of Computer Science, University of Toronto; Chief Data Scientist, UHNVerified email at cs.toronto.edu
Jixuan WangPhD, University of TorontoVerified email at cs.toronto.edu
Mohammad NorouziIdeogramVerified email at ideogram.ai
Milad HashemiGoogleVerified email at google.com
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu

Jacob Kelly

DeepMind

Verified email at cs.toronto.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning differential equations that are easy to solve J Kelly, J Bettencourt, MJ Johnson, DK Duvenaud Advances in Neural Information Processing Systems 33, 2020	122	2020
Automatically disambiguating medical acronyms with ontology-aware deep learning M Skreta, A Arbabi, J Wang, E Drysdale, J Kelly, D Singh, M Brudno Nature communications 12 (1), 5319, 2021	26	2021
No MCMC for me: Amortized sampling for fast and stable training of energy-based models W Grathwohl, J Kelly, M Hashemi, M Norouzi, K Swersky, D Duvenaud arXiv preprint arXiv:2010.04230, 2020	11*	2020
No Conditional Models for me: Training Joint EBMs on Mixed Continuous and Discrete Data J Kelly, WS Grathwohl Energy Based Models Workshop-ICLR 2021, 2021	5	2021
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data J Kelly, R Zemel, W Grathwohl arXiv preprint arXiv:2108.04227, 2021	3	2021

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