| 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 | 670 | 2013 |
| Deepcoder: Learning to write programs M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow arXiv preprint arXiv:1611.01989, 2016 | 333 | 2016 |
| 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 | 244 | 2015 |
| Constrained graph variational autoencoders for molecule design Q Liu, M Allamanis, M Brockschmidt, AL Gaunt arXiv preprint arXiv:1805.09076, 2018 | 152 | 2018 |
| Emergence of a turbulent cascade in a quantum gas N Navon, AL Gaunt, RP Smith, Z Hadzibabic Nature 539 (7627), 72-75, 2016 | 139 | 2016 |
| Robust digital holography for ultracold atom trapping AL Gaunt, Z Hadzibabic Scientific reports 2 (1), 1-5, 2012 | 101 | 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 | 100 | 2016 |
| Stability of a unitary Bose gas RJ Fletcher, AL Gaunt, N Navon, RP Smith, Z Hadzibabic Physical review letters 111 (12), 125303, 2013 | 92 | 2013 |
| 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 | 69 | 2018 |
| Generative code modeling with graphs M Brockschmidt, M Allamanis, AL Gaunt, O Polozov arXiv preprint arXiv:1805.08490, 2018 | 66 | 2018 |
| 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 | 51 | 2014 |
| 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 | 48 | 2014 |
| Learning to represent edits P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt arXiv preprint arXiv:1810.13337, 2018 | 36 | 2018 |
| 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 | 36 | 2018 |
| Differentiable programs with neural libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017 | 32 | 2017 |
| Observation of weak collapse in a Bose-Einstein condensate C Eigen, AL Gaunt, A Suleymanzade, N Navon, Z Hadzibabic, RP Smith Physical Review X 6 (4), 041058, 2016 | 29 | 2016 |
| 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 | 25 | 2019 |
| Neural program lattices C Li, D Tarlow, AL Gaunt, M Brockschmidt, N Kushman | 24 | 2016 |
| AMPNet: Asynchronous model-parallel training for dynamic neural networks AL Gaunt, MA Johnson, M Riechert, D Tarlow, R Tomioka, D Vytiniotis, ... arXiv preprint arXiv:1705.09786, 2017 | 23 | 2017 |
| Training deep neural nets to aggregate crowdsourced responses A Gaunt, D Borsa, Y Bachrach Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016 | 17 | 2016 |
