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Charles Sutton

Latent Programmer: Discrete Latent Codes for Program Synthesis


Dec 01, 2020
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

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* 15 pages, 9 figures 
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Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration


Nov 10, 2020
Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans

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* NeurIPS 2020 
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Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks


Oct 23, 2020
David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow

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* Accepted at NeurIPS 2020 
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Conditional independence by typing


Oct 22, 2020
Maria I. Gorinova, Andrew D. Gordon, Charles Sutton, Matthijs Vakar

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BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration


Jul 28, 2020
Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton

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Neural Program Synthesis with a Differentiable Fixer


Jun 19, 2020
Matej Balog, Rishabh Singh, Petros Maniatis, Charles Sutton

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SCELMo: Source Code Embeddings from Language Models


Apr 28, 2020
Rafael - Michael Karampatsis, Charles Sutton

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* 12 pages 
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OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints


Apr 01, 2020
Irene Vlassi Pandi, Earl T. Barr, Andrew D. Gordon, Charles Sutton

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Towards Modular Algorithm Induction


Feb 27, 2020
Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton

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* 10 pages, 4 figures, 2 tables 
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Incremental Sampling Without Replacement for Sequence Models


Feb 21, 2020
Kensen Shi, David Bieber, Charles Sutton

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Learning to Represent Programs with Property Signatures


Feb 13, 2020
Augustus Odena, Charles Sutton

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* ICLR 2020 
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Learning to Fix Build Errors with Graph2Diff Neural Networks


Nov 04, 2019
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian

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* Submitted for review on Aug 23, 2019 
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Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data


Jul 15, 2019
Simão Eduardo, Alfredo Nazábal, Christopher K. I. Williams, Charles Sutton

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* In submission to NeurIPS 2019 
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Learning Semantic Annotations for Tabular Data


May 30, 2019
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Charles Sutton

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* IJCAI 2019 
 * 7 pages 
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Maybe Deep Neural Networks are the Best Choice for Modeling Source Code


Mar 13, 2019
Rafael-Michael Karampatsis, Charles Sutton

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ColNet: Embedding the Semantics of Web Tables for Column Type Prediction


Nov 04, 2018
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Charles Sutton

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* AAAI 2019 
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Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic


Nov 02, 2018
Maria I. Gorinova, Andrew D. Gordon, Charles Sutton

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HOUDINI: Lifelong Learning as Program Synthesis


Oct 28, 2018
Lazar Valkov, Dipak Chaudhari, Akash Srivastava, Charles Sutton, Swarat Chaudhuri

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Deep Learning to Detect Redundant Method Comments


Jun 12, 2018
Annie Louis, Santanu Kumar Dash, Earl T. Barr, Charles Sutton

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* 12 pages 
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Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models


May 31, 2018
Akash Srivastava, Kai Xu, Michael U. Gutmann, Charles Sutton

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* Code: https://github.com/akashgit/RM-MMDnet 
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A Survey of Machine Learning for Big Code and Naturalness


May 05, 2018
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton

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* Website accompanying this survey paper can be found at https://ml4code.github.io 
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Variational Inference In Pachinko Allocation Machines


Apr 21, 2018
Akash Srivastava, Charles Sutton

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Interpreting Deep Classifier by Visual Distillation of Dark Knowledge


Mar 11, 2018
Kai Xu, Dae Hoon Park, Chang Yi, Charles Sutton

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VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning


Nov 06, 2017
Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton

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* Published as a conference paper at NIPS, 2017 
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Sequence-to-point learning with neural networks for nonintrusive load monitoring


Sep 18, 2017
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel Goddard, Charles Sutton

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* The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 
 * 8 pages, 3 figures 
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Learning Continuous Semantic Representations of Symbolic Expressions


Jun 10, 2017
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton

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* Accepted to ICML 2017 
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Autoencoding Variational Inference For Topic Models


Mar 04, 2017
Akash Srivastava, Charles Sutton

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A Bayesian Network Model for Interesting Itemsets


Nov 11, 2016
Jaroslav Fowkes, Charles Sutton

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* Supplementary material attached as Ancillary File; in PKDD 2016: European Conference on Machine Learning and Knowledge Discovery in Databases 
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A Subsequence Interleaving Model for Sequential Pattern Mining


Nov 11, 2016
Jaroslav Fowkes, Charles Sutton

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* 10 pages in KDD 2016: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 
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Blending LSTMs into CNNs


Sep 14, 2016
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Ozlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton

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