Training Neural Nets to Aggregate Crowdsourced Responses. - Alex Gaunt; Diana Borsa; Yoram Bachrach (UAI, 2016)

TerpreT: A Probabilistic Programming Language for Program Induction. - Alexander L. Gaunt; Marc Brockschmidt; Rishabh Singh; Nate Kushman; Pushmeet Kohli; Jonathan Taylor 001; Daniel Tarlow (CoRR, 2016)

Summary - TerpreT: A Probabilistic Programming Language for Program Induction. - Alexander L. Gaunt; Marc Brockschmidt; Rishabh Singh; Nate Kushman; Pushmeet Kohli; Jonathan Taylor 001; Daniel Tarlow (CoRR, 2016)

DeepCoder: Learning to Write Programs. - Matej Balog; Alexander L. Gaunt; Marc Brockschmidt; Sebastian Nowozin; Daniel Tarlow (ICLR (Poster), 2017)

Neural Functional Programming. - John K. Feser; Marc Brockschmidt; Alexander L. Gaunt; Daniel Tarlow (ICLR (Workshop), 2017)

Lifelong Perceptual Programming By Example. - Alexander L. Gaunt; Marc Brockschmidt; Nate Kushman; Daniel Tarlow (ICLR (Workshop), 2017)

Neural Program Lattices. - Chengtao Li; Daniel Tarlow; Alexander L. Gaunt; Marc Brockschmidt; Nate Kushman (ICLR (Poster), 2017)

Differentiable Programs with Neural Libraries. - Alexander L. Gaunt; Marc Brockschmidt; Nate Kushman; Daniel Tarlow (ICML, 2017)

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks. - Alex Gaunt; Matthew Johnson; Maik Riechert; Daniel Tarlow; Ryota Tomioka; Dimitrios Vytiniotis; Sam Webster (CoRR, 2017)

Glass: A New Media for a New Era? - Patrick Anderson 001; Richard Black; Ausra Cerkauskaite; Andromachi Chatzieleftheriou; James Clegg; Chris Dainty; Raluca Diaconu; Rokas Drevinskas; Austin Donnelly; Alexander L. Gaunt; Andreas Georgiou; Ariel Gomez Diaz; et al. (HotStorage, 2018)

Graph Partition Neural Networks for Semi-Supervised Classification. - Renjie Liao; Marc Brockschmidt; Daniel Tarlow; Alexander L. Gaunt; Raquel Urtasun; Richard S. Zemel (ICLR (Workshop), 2018)

Constrained Graph Variational Autoencoders for Molecule Design. - Qi Liu 049; Miltiadis Allamanis; Marc Brockschmidt; Alexander L. Gaunt (NeurIPS, 2018)

Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. - Anqi Wu; Sebastian Nowozin; Edward Meeds; Richard E. Turner; José Miguel Hernández-Lobato; Alexander L. Gaunt (CoRR, 2018)

Generative Code Modeling with Graphs. - Marc Brockschmidt; Miltiadis Allamanis; Alexander L. Gaunt; Oleksandr Polozov (ICLR (Poster), 2019)

Deterministic Variational Inference for Robust Bayesian Neural Networks. - Anqi Wu; Sebastian Nowozin; Edward Meeds; Richard E. Turner; José Miguel Hernández-Lobato; Alexander L. Gaunt (ICLR, 2019)

Learning to Represent Edits. - Pengcheng Yin; Graham Neubig; Miltiadis Allamanis; Marc Brockschmidt; Alexander L. Gaunt (ICLR (Poster), 2019)

Very Deep Graph Neural Networks Via Noise Regularisation. - Jonathan Godwin; Michael Schaarschmidt; Alexander L. Gaunt; Alvaro Sanchez-Gonzalez; Yulia Rubanova; Petar Velickovic; James Kirkpatrick; Peter W. Battaglia (CoRR, 2021)

Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. - Jonathan Godwin; Michael Schaarschmidt; Alexander L. Gaunt; Alvaro Sanchez-Gonzalez; Yulia Rubanova; Petar Velickovic; James Kirkpatrick; Peter W. Battaglia (ICLR, 2022)

Learned Force Fields Are Ready For Ground State Catalyst Discovery. - Michael Schaarschmidt; Morgane Riviere; Alex M. Ganose; James S. Spencer; Alexander L. Gaunt; James Kirkpatrick; Simon Axelrod; Peter W. Battaglia; Jonathan Godwin (CoRR, 2022)

Project Silica: Towards Sustainable Cloud Archival Storage in Glass. - Patrick Anderson 001; Erika Blancada Aranas; Youssef Assaf; Raphael Behrendt; Richard Black; Marco Caballero; Pashmina Cameron; Burcu Canakci; Thales De Carvalho; Andromachi Chatzieleftheriou; Rebekah Storan Clarke; James Clegg; et al. (SOSP, 2023)

Generative Hierarchical Materials Search. - Sherry Yang 001; Simon L. Batzner; Ruiqi Gao; Muratahan Aykol; Alexander L. Gaunt; Brendan McMorrow; Danilo Jimenez Rezende; Dale Schuurmans; Igor Mordatch; Ekin Dogus Cubuk (NeurIPS, 2024)

Project Silica: Towards Sustainable Cloud Archival Storage in Glass. - Patrick Anderson 001; Erika Blancada Aranas; Youssef Assaf; Raphael Behrendt; Richard Black; Marco Caballero; Pashmina Cameron; Burcu Canakci; Andromachi Chatzieleftheriou; Rebekah Storan Clarke; James Clegg; Daniel Cletheroe; et al. (ACM Trans. Storage, 2025)