Alvaro Sanchez Gonzalez
Cited by
Cited by
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
Learning to simulate complex physics with graph networks
A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia
International conference on machine learning, 8459-8468, 2020
Learning mesh-based simulation with graph networks
T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia
arXiv preprint arXiv:2010.03409, 2020
Graph networks as learnable physics engines for inference and control
A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ...
International conference on machine learning, 4470-4479, 2018
Discovering symbolic models from deep learning with inductive biases
M Cranmer, A Sanchez Gonzalez, P Battaglia, R Xu, K Cranmer, ...
Advances in neural information processing systems 33, 17429-17442, 2020
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
Eta prediction with graph neural networks in google maps
A Derrow-Pinion, J She, D Wong, O Lange, T Hester, L Perez, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
Hamiltonian graph networks with ode integrators
A Sanchez-Gonzalez, V Bapst, K Cranmer, P Battaglia
arXiv preprint arXiv:1909.12790, 2019
Compile: Compositional imitation learning and execution
T Kipf, Y Li, H Dai, V Zambaldi, A Sanchez-Gonzalez, E Grefenstette, ...
International Conference on Machine Learning, 3418-3428, 2019
Ultrafast isomerization initiated by X-ray core ionization
CE Liekhus-Schmaltz, I Tenney, T Osipov, A Sanchez-Gonzalez, N Berrah, ...
Nature communications 6 (1), 8199, 2015
Structured agents for physical construction
V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ...
International conference on machine learning, 464-474, 2019
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
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning
A Sanchez-Gonzalez, P Micaelli, C Olivier, TR Barillot, M Ilchen, ...
Nature communications 8 (1), 15461, 2017
Learned coarse models for efficient turbulence simulation
K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ...
arXiv preprint arXiv:2112.15275, 2021
Linac Coherent Light Source data analysis using psana
D Damiani, M Dubrovin, I Gaponenko, W Kroeger, TJ Lane, A Mitra, ...
Journal of Applied Crystallography 49 (2), 672-679, 2016
Pre-training via denoising for molecular property prediction
S Zaidi, M Schaarschmidt, J Martens, H Kim, YW Teh, ...
arXiv preprint arXiv:2206.00133, 2022
Combining q-learning and search with amortized value estimates
JB Hamrick, V Bapst, A Sanchez-Gonzalez, T Pfaff, T Weber, L Buesing, ...
arXiv preprint arXiv:1912.02807, 2019
Experimental simulation of simultaneous vision
P de Gracia, C Dorronsoro, Á Sánchez-González, L Sawides, S Marcos
Investigative ophthalmology & visual science 54 (1), 415-422, 2013
Correlation-driven transient hole dynamics resolved in space and time in the isopropanol molecule
T Barillot, O Alexander, B Cooper, T Driver, D Garratt, S Li, A Al Haddad, ...
Physical Review X 11 (3), 031048, 2021
Physical design using differentiable learned simulators
KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2202.00728, 2022
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