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Alexander L. Gaunt

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Learned Force Fields Are Ready For Ground State Catalyst Discovery

Sep 26, 2022
Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin

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Learning to Represent Edits

Oct 31, 2018
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

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Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks

Oct 09, 2018
Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt

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Constrained Graph Variational Autoencoders for Molecule Design

May 23, 2018
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

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Generative Code Modeling with Graphs

May 22, 2018
Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov

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Graph Partition Neural Networks for Semi-Supervised Classification

Mar 16, 2018
Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard Zemel

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AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Jun 22, 2017
Alexander L. Gaunt, Matthew A. Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster

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DeepCoder: Learning to Write Programs

Mar 08, 2017
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow

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Differentiable Programs with Neural Libraries

Mar 02, 2017
Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow

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Differentiable Functional Program Interpreters

Mar 02, 2017
John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow

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