Alexander L Gaunt
Alexander L Gaunt
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
6522013
Deepcoder: Learning to write programs
M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow
arXiv preprint arXiv:1611.01989, 2016
3042016
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
2372015
Emergence of a turbulent cascade in a quantum gas
N Navon, AL Gaunt, RP Smith, Z Hadzibabic
Nature 539 (7627), 72-75, 2016
1352016
Constrained graph variational autoencoders for molecule design
Q Liu, M Allamanis, M Brockschmidt, A Gaunt
Advances in neural information processing systems, 7795-7804, 2018
1282018
Robust digital holography for ultracold atom trapping
AL Gaunt, Z Hadzibabic
Scientific reports 2, 721, 2012
1022012
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
972016
Stability of a unitary Bose gas
RJ Fletcher, AL Gaunt, N Navon, RP Smith, Z Hadzibabic
Physical review letters 111 (12), 125303, 2013
912013
Generative code modeling with graphs
M Brockschmidt, M Allamanis, AL Gaunt, O Polozov
arXiv preprint arXiv:1805.08490, 2018
552018
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
512014
Deterministic variational inference for robust bayesian neural networks
A Wu, S Nowozin, E Meeds, RE Turner, JM Hernández-Lobato, AL Gaunt
arXiv preprint arXiv:1810.03958, 2018
502018
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
442014
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
322018
Differentiable programs with neural libraries
AL Gaunt, M Brockschmidt, N Kushman, D Tarlow
International Conference on Machine Learning, 1213-1222, 2017
292017
Learning to represent edits
P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt
arXiv preprint arXiv:1810.13337, 2018
282018
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
272016
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
232017
Neural program lattices
C Li, D Tarlow, AL Gaunt, M Brockschmidt, N Kushman
232016
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
172019
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
162016
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Articles 1–20