Alexander L. Gaunt

Microsoft Research (United Kingdom) — United Kingdom

Physics and Astronomy · Physical Sciences

22h-index3.3kcitations62works2.72yr avg
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Research Topics

Cold Atom Physics and Bose-Einstein Condensates(27), Quantum, superfluid, helium dynamics(15), Machine Learning in Materials Science(10), Software Engineering Research(7), Computational Drug Discovery Methods(5)

Publications62 total

Project Silica: Towards Sustainable Cloud Archival Storage in Glass
ACM Transactions on Storage·2024· 6 cited
Generative Hierarchical Materials Search
arXiv (Cornell University)·2024· 1 citedOpen Access
Generative Hierarchical Materials Search
2024· 1 cited
Project Silica: Towards Sustainable Cloud Archival Storage in Glass
2023· 15 citedOpen Access
Learned Force Fields Are Ready For Ground State Catalyst Discovery
arXiv (Cornell University)·2022· 15 citedOpen Access
Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem”
Science·2022· 6 citedOpen Access
Cloud-Scale Archival Storage Using Ultrafast Laser Nanostructuring
Conference on Lasers and Electro-Optics·2022
Pushing the frontiers of density functionals by solving the fractional electron problem
Science·2021· 373 citedOpen Access
A deep learning model for predicting next-generation sequencing depth from DNA sequence
Nature Communications·2021· 74 citedOpen Access
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
arXiv (Cornell University)·2021· 8 citedOpen Access
Very Deep Graph Neural Networks Via Noise Regularisation.
arXiv (Cornell University)·2021· 11 citedOpen Access
Atomistic graph networks for experimental materials property prediction
arXiv (Cornell University)·2021· 6 citedOpen Access
Observing Localization in a 2D Quasicrystalline Optical Lattice
Physical Review Letters·2020· 92 citedOpen Access
A Deep Learning Model for Predicting NGS Sequencing Depth from DNA Sequence
2020· 1 citedOpen Access
Research data & code supporting: 'Synthetic dissipation and cascade fluxes in a turbulent quantum gas'
Apollo (University of Cambridge)·2019Open Access
Synthetic dissipation and cascade fluxes in a turbulent quantum gas
Apollo (University of Cambridge)·2019· 20 citedOpen Access
Learning to Represent Edits
arXiv (Cornell University)·2018· 48 citedOpen Access
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks
arXiv (Cornell University)·2018· 10 citedOpen Access
Deterministic Variational Inference for Robust Bayesian Neural Networks
arXiv (Cornell University)·2018· 65 citedOpen Access
Learning to Represent Edits.
arXiv (Cornell University)·2018· 35 citedOpen Access
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Frequent Co-authors

Zoran Hadzibabic(18), Robert P. Smith(14), Marc Brockschmidt(14), Nir Navon(11), Daniel Tarlow(10), Tobias F. Schmidutz(7), Igor Gotlibovych(7), Sebastian Nowozin(6), Pushmeet Kohli(5), Miltiadis Allamanis(5), Nate Kushman(5), James Kirkpatrick(4), Brendan McMorrow(4), R. Fletcher(4), James S. Spencer(3), Annette Obika(3), Demis Hassabis(3), Christoph Eigen(3), Patrick Anderson(3), Richard Black(3)