Alexander L. Gaunt

28 papers A* 5Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Project Silica: Towards Sustainable Cloud Archival Storage in Glass. ACM Trans. Storage Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, William M. Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
2024	A*	`conf`	Generative Hierarchical Materials Search. NeurIPS Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo Jimenez Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2023	A*	`conf`	Project Silica: Towards Sustainable Cloud Archival Storage in Glass. SOSP Patrick Anderson, 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, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
2022	J	`jnl`	Learned Force Fields Are Ready For Ground State Catalyst Discovery. CoRR Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin
2022	A*	`conf`	Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2021	J	`jnl`	Very Deep Graph Neural Networks Via Noise Regularisation. CoRR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2019	—	`conf`	Deterministic Variational Inference for Robust Bayesian Neural Networks. ICLR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2019	—	`conf`	Generative Code Modeling with Graphs. ICLR (Poster) Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov
2019	—	`conf`	Learning to Represent Edits. ICLR (Poster) Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2018	A*	`conf`	Constrained Graph Variational Autoencoders for Molecule Design. NeurIPS Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2018	J	`jnl`	Constrained Graph Variational Autoencoders for Molecule Design. CoRR Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2018	J	`jnl`	Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. CoRR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2018	J	`jnl`	Generative Code Modeling with Graphs. CoRR Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov
2018	—	`conf`	Glass: A New Media for a New Era? HotStorage Patrick Anderson, Richard Black, Ausra Cerkauskaite, Andromachi Chatzieleftheriou, James Clegg, Chris Dainty, Raluca Diaconu, Rokas Drevinskas, Austin Donnelly, Alexander L. Gaunt, Andreas Georgiou, Ariel Gomez Diaz, Peter G. Kazansky, David Lara, Sergey Legtchenko, Sebastian Nowozin, Aaron Ogus, Douglas Phillips, Antony I. T. Rowstron, Masaaki Sakakura, Ioan A. Stefanovici, Benn Thomsen, Lei Wang, Hugh Williams, Mengyang Yang
2018	—	`conf`	Graph Partition Neural Networks for Semi-Supervised Classification. ICLR (Workshop) Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Graph Partition Neural Networks for Semi-Supervised Classification. CoRR Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Learning to Represent Edits. CoRR Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
2017	—	`conf`	DeepCoder: Learning to Write Programs. ICLR (Poster) Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2017	A*	`conf`	Differentiable Programs with Neural Libraries. ICML Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2017	—	`conf`	Lifelong Perceptual Programming By Example. ICLR (Workshop) Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2017	—	`conf`	Neural Functional Programming. ICLR (Workshop) John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow
2017	—	`conf`	Neural Program Lattices. ICLR (Poster) Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
2016	J	`jnl`	DeepCoder: Learning to Write Programs. CoRR Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
2016	J	`jnl`	Lifelong Perceptual Programming By Example. CoRR Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
2016	J	`jnl`	Neural Functional Programming. CoRR John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow
2016	J	`jnl`	Summary - TerpreT: A Probabilistic Programming Language for Program Induction. CoRR Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
2016	J	`jnl`	TerpreT: A Probabilistic Programming Language for Program Induction. CoRR Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow