Follow
Alvaro Sanchez Gonzalez
Title
Cited by
Cited by
Year
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
40112018
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
12502020
Learning mesh-based simulation with graph networks
T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia
arXiv preprint arXiv:2010.03409, 2020
9092020
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
757*2023
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
7422018
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
5812020
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
2852021
Hamiltonian graph networks with ode integrators
A Sanchez-Gonzalez, V Bapst, K Cranmer, P Battaglia
arXiv preprint arXiv:1909.12790, 2019
1832019
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
160*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
1272015
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
1252021
Structured agents for physical construction
V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ...
International conference on machine learning, 464-474, 2019
1182019
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
115*2021
Pre-training via denoising for molecular property prediction
S Zaidi, M Schaarschmidt, J Martens, H Kim, YW Teh, ...
arXiv preprint arXiv:2206.00133, 2022
1142022
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
972017
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
902016
Gencast: Diffusion-based ensemble forecasting for medium-range weather
I Price, A Sanchez-Gonzalez, F Alet, TR Andersson, A El-Kadi, D Masters, ...
arXiv preprint arXiv:2312.15796, 2023
802023
WeatherBench 2: A benchmark for the next generation of data‐driven global weather models
S Rasp, S Hoyer, A Merose, I Langmore, P Battaglia, T Russell, ...
Journal of Advances in Modeling Earth Systems 16 (6), e2023MS004019, 2024
722024
Neural general circulation models for weather and climate
D Kochkov, J Yuval, I Langmore, P Norgaard, J Smith, G Mooers, ...
Nature 632 (8027), 1060-1066, 2024
662024
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
612019
The system can't perform the operation now. Try again later.
Articles 1–20