Daniel Tarlow

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Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Marc BrockschmidtResearch Scientist, Google DeepMindVerified email at google.com
Alexander L GauntDeepMindVerified email at google.com
Yujia LiResearch Scientist, Google DeepMindVerified email at google.com
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Pushmeet KohliDeepMindVerified email at google.com
Matej BalogResearch Scientist, DeepMindVerified email at google.com
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Daniel D. JohnsonResearch Scientist, Google Research / University of TorontoVerified email at google.com
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKVerified email at microsoft.com
Nate KushmanResearch Scientist, DeepMindVerified email at kushman.org
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Dhruv BatraFAIR (Meta AI) | Georgia TechVerified email at gatech.edu
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
Jonathan TaylorSenior Scientist at perceptiveIO, IncVerified email at cs.toronto.edu
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
Inmar GivoniUber ATGVerified email at utoronto.ca
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeVerified email at microsoft.com

Daniel Tarlow

Research Scientist, Google Brain - Montreal

Verified email at cs.toronto.edu - Homepage

Machine Learning


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Gated Graph Sequence Neural Networks Y Li, D Tarlow, M Brockschmidt, R Zemel International Conference on Learning Representations (ICLR 2016)., 2015	3388	2015
DeepCoder: Learning to Write Programs M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow International Conference on Learning Representations (ICLR 2017)., 2016	618	2016
A* Sampling CJ Maddison, D Tarlow, T Minka Advances in Neural Information Processing Systems, 3086-3094, 2014	346	2014
Structured Denoising Diffusion Models in Discrete State-Spaces J Austin, D Johnson, J Ho, D Tarlow, R Berg NeurIPS 2021, 2021	256	2021
Bimodal modelling of source code and natural language M Allamanis, D Tarlow, A Gordon, Y Wei Proceedings of The 32nd International Conference on Machine Learning, 2123-2132, 2015	226	2015
Perturbations, Optimization, and Statistics T Hazan, G Papandreou, D Tarlow MIT Press, 2016	220*	2016
Structured generative models of natural source code C Maddison, D Tarlow Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	181	2014
HOP-MAP: Efficient message passing with high order potentials D Tarlow, IE Givoni, RS Zemel Proceedings of 13th Conference on Artificial Intelligence and Statistics, 2010	165	2010
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization DJ Tan, T Cashman, J Taylor, A Fitzgibbon, D Tarlow, S Khamis, S Izadi, ... IEEE Conference on Computer Vision and Pattern Recognition, 2016	133	2016
TerpreT: A Probabilistic Programming Language for Program Induction AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ... arXiv preprint arXiv:1608.04428, 2016	121	2016
Using combinatorial optimization within max-product belief propagation J Duchi, D Tarlow, G Elidan, D Koller Advances in neural information processing systems 19, 369, 2007	96*	2007
Graph Partition Neural Networks for Semi-Supervised Classification R Liao, M Brockschmidt, D Tarlow, AL Gaunt, R Urtasun, R Zemel ICLR 2018 Workshop Track, 2018	78	2018
Fast Exact Inference for Recursive Cardinality Models D Tarlow, K Swersky, RS Zemel, RP Adams, BJ Frey Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, 2012	74	2012
Optimizing Expected Intersection-over-Union with Candidate-Constrained CRFs F Ahmed, D Tarlow, D Batra Proc. of the IEEE International Conf. on Computer Vision (ICCV) 8, 2015	73	2015
Structured Output Learning with High Order Loss Functions D Tarlow, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics, 2012	73*	2012
Learning articulated structure and motion DA Ross, D Tarlow, RS Zemel International journal of computer vision 88 (2), 214-237, 2010	70	2010
Differentiable Programs with Neural Libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017	67	2017
Gradient Estimation with Stochastic Softmax Tricks MB Paulus, D Choi, D Tarlow, A Krause, CJ Maddison NeurIPS 2020, 2020	64	2020
Learning to fix build errors with graph2diff neural networks D Tarlow, S Moitra, A Rice, Z Chen, PA Manzagol, C Sutton, E Aftandilian Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020	57	2020
Randomized optimum models for structured prediction D Tarlow, RP Adams, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics …, 2012	55	2012

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