Daniel Tarlow
Daniel Tarlow
Research Scientist, Google Brain - Montreal
Verified email at - Homepage
Cited by
Cited by
Gated Graph Sequence Neural Networks
Y Li, D Tarlow, M Brockschmidt, R Zemel
International Conference on Learning Representations (ICLR 2016)., 2015
DeepCoder: Learning to Write Programs
M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow
International Conference on Learning Representations (ICLR 2017)., 2016
A* Sampling
CJ Maddison, D Tarlow, T Minka
Advances in Neural Information Processing Systems, 3086-3094, 2014
Structured Denoising Diffusion Models in Discrete State-Spaces
J Austin, D Johnson, J Ho, D Tarlow, R Berg
NeurIPS 2021, 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
Perturbations, Optimization, and Statistics
T Hazan, G Papandreou, D Tarlow
MIT Press, 2016
Structured generative models of natural source code
C Maddison, D Tarlow
Proceedings of the 31st International Conference on Machine Learning (ICML …, 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
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
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
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
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
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
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
Structured Output Learning with High Order Loss Functions
D Tarlow, RS Zemel
Proceedings of the 15th Conference on Artificial Intelligence and Statistics, 2012
Learning articulated structure and motion
DA Ross, D Tarlow, RS Zemel
International journal of computer vision 88 (2), 214-237, 2010
Differentiable Programs with Neural Libraries
AL Gaunt, M Brockschmidt, N Kushman, D Tarlow
International Conference on Machine Learning, 1213-1222, 2017
Gradient Estimation with Stochastic Softmax Tricks
MB Paulus, D Choi, D Tarlow, A Krause, CJ Maddison
NeurIPS 2020, 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
Randomized optimum models for structured prediction
D Tarlow, RP Adams, RS Zemel
Proceedings of the 15th Conference on Artificial Intelligence and Statistics …, 2012
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