| Bose-Einstein condensation of atoms in a uniform potential AL Gaunt, TF Schmidutz, I Gotlibovych, RP Smith, Z Hadzibabic Physical review letters 110 (20), 200406, 2013 | 930 | 2013 |
| Deepcoder: Learning to write programs M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow arXiv preprint arXiv:1611.01989, 2016 | 731 | 2016 |
| Constrained graph variational autoencoders for molecule design Q Liu, M Allamanis, M Brockschmidt, A Gaunt Advances in neural information processing systems 31, 2018 | 557 | 2018 |
| Critical dynamics of spontaneous symmetry breaking in a homogeneous Bose gas N Navon, AL Gaunt, RP Smith, Z Hadzibabic Science 347 (6218), 167-170, 2015 | 352 | 2015 |
| Pushing the frontiers of density functionals by solving the fractional electron problem J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt, JS Spencer, ... Science 374 (6573), 1385-1389, 2021 | 322 | 2021 |
| Emergence of a turbulent cascade in a quantum gas N Navon, AL Gaunt, RP Smith, Z Hadzibabic Nature 539 (7627), 72-75, 2016 | 275 | 2016 |
| Deterministic variational inference for robust bayesian neural networks A Wu, S Nowozin, E Meeds, RE Turner, JM Hernandez-Lobato, AL Gaunt arXiv preprint arXiv:1810.03958, 2018 | 224 | 2018 |
| Generative code modeling with graphs M Brockschmidt, M Allamanis, AL Gaunt, O Polozov arXiv preprint arXiv:1805.08490, 2018 | 212 | 2018 |
| Robust digital holography for ultracold atom trapping AL Gaunt, Z Hadzibabic Scientific reports 2 (1), 721, 2012 | 157 | 2012 |
| Terpret: A probabilistic programming language for program induction AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ... arXiv preprint arXiv:1608.04428, 2016 | 130 | 2016 |
| Learning to represent edits P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt arXiv preprint arXiv:1810.13337, 2018 | 125 | 2018 |
| Simple gnn regularisation for 3d molecular property prediction & beyond J Godwin, M Schaarschmidt, A Gaunt, A Sanchez-Gonzalez, Y Rubanova, ... arXiv preprint arXiv:2106.07971, 2021 | 124 | 2021 |
| Stability of a unitary Bose gas RJ Fletcher, AL Gaunt, N Navon, RP Smith, Z Hadzibabic Physical review letters 111 (12), 125303, 2013 | 117 | 2013 |
| Graph partition neural networks for semi-supervised classification R Liao, M Brockschmidt, D Tarlow, AL Gaunt, R Urtasun, R Zemel arXiv preprint arXiv:1803.06272, 2018 | 91 | 2018 |
| Observing localization in a 2D quasicrystalline optical lattice M Sbroscia, K Viebahn, E Carter, JC Yu, A Gaunt, U Schneider Physical Review Letters 125 (20), 200604, 2020 | 80 | 2020 |
| Synthetic dissipation and cascade fluxes in a turbulent quantum gas N Navon, C Eigen, J Zhang, R Lopes, AL Gaunt, K Fujimoto, M Tsubota, ... Science 366 (6463), 382-385, 2019 | 80 | 2019 |
| Differentiable programs with neural libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017 | 76 | 2017 |
| Observing properties of an interacting homogeneous Bose-Einstein condensate: Heisenberg-limited momentum spread, interaction energy, and free-expansion dynamics I Gotlibovych, TF Schmidutz, AL Gaunt, N Navon, RP Smith, Z Hadzibabic Physical Review A 89 (6), 061604, 2014 | 70 | 2014 |
| A deep learning model for predicting next-generation sequencing depth from DNA sequence JX Zhang, B Yordanov, A Gaunt, MX Wang, P Dai, YJ Chen, K Zhang, ... Nature communications 12 (1), 4387, 2021 | 69 | 2021 |
| Quantum Joule-Thomson effect in a saturated homogeneous Bose gas TF Schmidutz, I Gotlibovych, AL Gaunt, RP Smith, N Navon, Z Hadzibabic Physical Review Letters 112 (4), 040403, 2014 | 68 | 2014 |
