Daniel Tarlow

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Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Marc BrockschmidtResearcher, Microsoft ResearchVerified email at microsoft.com
Alexander L GauntDeepMindVerified email at google.com
Yujia LiResearch Scientist, DeepMindVerified email at google.com
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Pushmeet KohliDeepMindVerified email at google.com
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Matej BalogResearch Scientist, DeepMindVerified email at google.com
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
Nate KushmanResearch Scientist, DeepMindVerified email at kushman.org
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKVerified email at microsoft.com
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Jonathan TaylorSenior Scientist at perceptiveIO, IncVerified email at cs.toronto.edu
Inmar GivoniUber ATGVerified email at utoronto.ca
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeVerified email at microsoft.com
David A. RossGoogle ResearchVerified email at google.com
Daniel D. JohnsonGoogle ResearchVerified email at google.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	2409	2015
DeepCoder: Learning to Write Programs M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow International Conference on Learning Representations (ICLR 2017)., 2016	487	2016
A* Sampling CJ Maddison, D Tarlow, T Minka Advances in Neural Information Processing Systems, 3086-3094, 2014	274	2014
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	183	2015
Perturbations, Optimization, and Statistics T Hazan, G Papandreou, D Tarlow MIT Press, 2016	181*	2016
Structured generative models of natural source code C Maddison, D Tarlow Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	165	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
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	113	2016
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	100	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
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	73	2012
Structured Output Learning with High Order Loss Functions D Tarlow, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics, 2012	68*	2012
Learning articulated structure and motion DA Ross, D Tarlow, RS Zemel International journal of computer vision 88 (2), 214-237, 2010	67	2010
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	56	2015
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	53	2018
Randomized optimum models for structured prediction D Tarlow, RP Adams, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics …, 2012	53	2012
Exploring Compositional High Order Pattern Potentials for Structured Output Learning Y Li, D Tarlow, R Zemel Proc. of the 26th IEEE Conference on Computer Vision and Pattern Recognition …, 2013	52	2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning D Tarlow, K Swersky, L Charlin, I Sutskever, RS Zemel Proceedings of the International Conference on Machine Learning (ICML), 2013	50	2013
Differentiable Programs with Neural Libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017	48	2017
Learning to Pass Expectation Propagation Messages N Heess, D Tarlow, J Winn Advances in Neural Information Processing Systems, 3219-3227, 2013	46	2013

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