PB
Peter Battaglia
cs.LGstat.MLcs.AIcs.CVphysics.comp-phcs.NEphysics.ao-phastro-ph.IMastro-ph.EPcs.CE
On Valency
published · living versionsW_rsyunb62·v1 · currentpublished
WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
with Stephan Rasp, Boris Babenko, Dominic Masters, Andrew El-Kadi +20
1 version
Preprints & journals
79 papers in the corpus · 2003–2026WeatherNext 3: Increasing resolution and performance of global weather models with raw observations2609.03582v1 · Stephan Rasp, Boris Babenko, Dominic Masters et al.2026 · 0 citationsarXivon Valency
Operational tropical cyclone forecasting with AI.42717078 · Alet, Ferran, Andersson, Tom R, Price, Ilan et al.2026 · 1 citationNature. 2026;657(8132):680-688
Accelerating scientific discovery with the common task framework2511.04001v1 · J. Nathan Kutz, Peter Battaglia, Michael Brenner et al.2025 · 0 citationsarXiv
Skillful joint probabilistic weather forecasting from marginals2506.10772v1 · Ferran Alet, Ilan Price, Andrew El-Kadi et al.2025 · 4 citationsarXiv
Probabilistic weather forecasting with machine learning.39633054 · Price, Ilan, Sanchez-Gonzalez, Alvaro, Alet, Ferran et al.2024 · 430 citationsNature. 2025;637(8044):84-90
Neural general circulation models for weather and climate.39039241 · Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian et al.2024 · 452 citationsNature. 2024;632(8027):1060-1066
GenCast: Diffusion-based ensemble forecasting for medium-range weather2312.15796v2 · Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet et al.2023 · 66 citationsarXiv
Learning skillful medium-range global weather forecasting.37962497 · Lam, Remi, Sanchez-Gonzalez, Alvaro, Willson, Matthew et al.2023 · 1,453 citationsScience (New York, N.Y.). 2023;382(6677):1416-1421
Diffusion Generative Inverse Design2309.02040v2 · Marin Vlastelica, Tatiana L'opez-Guevara, Kelsey Allen et al.2023 · 1 citationarXiv
WeatherBench 2: A benchmark for the next generation of data-driven global weather models2308.15560v2 · Stephan Rasp, Stephan Hoyer, Alexander Merose et al.2023 · 240 citationsarXiv
Integrating heuristic and simulation-based reasoning in intuitive physicsbckes_v1 · Kevin Smith, Peter Battaglia, Joshua Tenenbaum2023 · 11 citationsPsyArXiv
GraphCast: Learning skillful medium-range global weather forecasting2212.12794v2 · Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson et al.2022 · 155 citationsarXiv
Learning rigid dynamics with face interaction graph networks2212.03574v1 · Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara et al.2022 · 8 citationsarXiv
MultiScale MeshGraphNets2210.00612v1 · Meire Fortunato, Tobias Pfaff, Peter Wirnsberger et al.2022 · 31 citations2nd AI4Science Workshop at the 39th International Conference on Machine Learning (ICML), 2022
Learned Force Fields Are Ready For Ground State Catalyst Discovery2209.12466v1 · Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose et al.2022 · 10 citationsarXiv
Publisher Correction: Intuitive physics learning in a deep-learning model inspired by developmental psychology.35859190 · Piloto, Luis S, Weinstein, Ari, Battaglia, Peter et al.2022 · 1 citationNature human behaviour. 2022;6(8):1181
Intuitive physics learning in a deep-learning model inspired by developmental psychology.35817932 · Piloto, Luis S, Weinstein, Ari, Battaglia, Peter et al.2022 · 118 citationsNature human behaviour. 2022;6(9):1257-1267
TF-GNN: Graph Neural Networks in TensorFlow2207.03522v2 · Oleksandr Ferludin, Arno Eigenwillig, Martin Blais et al.2022 · 17 citationsarXiv
Pre-training via Denoising for Molecular Property Prediction2206.00133v2 · Sheheryar Zaidi, Michael Schaarschmidt, James Martens et al.2022 · 32 citationsarXiv
Transframer: Arbitrary Frame Prediction with Generative Models2203.09494v3 · Charlie Nash, Joao Carreira, Jacob Walker et al.2022 · 18 citationsarXiv
Rediscovering orbital mechanics with machine learning2202.02306v1 · Pablo Lemos, Niall Jeffrey, Miles Cranmer et al.2022 · 90 citationsarXiv
Physical Design using Differentiable Learned Simulators2202.00728v1 · Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly Stachenfeld et al.2022 · 17 citationsarXiv
Learned Coarse Models for Efficient Turbulence Simulation2112.15275v3 · Kimberly Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov et al.2021 · 26 citations(2022) International Conference on Learning Representations
Constraint-based graph network simulator2112.09161v2 · Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff et al.2021 · 13 citationsarXiv
Advancing mathematics by guiding human intuition with AI.34853458 · Davies, Alex, Veličković, Petar, Buesing, Lars et al.2022 · 452 citationsNature. 2021;600(7887):70-74
Learning ground states of quantum Hamiltonians with graph networks2110.06390v1 · Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez et al.2021 · 11 citationsarXiv
A Bayesian neural network predicts the dissolution of compact planetary systems.34599094 · Cranmer, Miles, Tamayo, Daniel, Rein, Hanno et al.2021 · 3 citationsProceedings of the National Academy of Sciences of the United States of America. 2021;118(40)
ETA Prediction with Graph Neural Networks in Google Maps2108.11482v1 · Austin Derrow-Pinion, Jennifer She, David Wong et al.2021 · 217 citationsarXiv
Large-scale graph representation learning with very deep GNNs and self-supervision2107.09422v1 · Ravichandra Addanki, Peter W. Battaglia, David Budden et al.2021 · 15 citationsarXiv
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond2106.07971v2 · Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt et al.2021 · 8 citationsarXiv
Generating Images with Sparse Representations2103.03841v1 · Charlie Nash, Jacob Menick, Sander Dieleman et al.2021 · 66 citationsarXiv
Graph Networks with Spectral Message Passing2101.00079v1 · Kimberly Stachenfeld, Jonathan Godwin, Peter Battaglia2020 · 7 citationsarXiv
Learning Mesh-Based Simulation with Graph Networks2010.03409v4 · Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez et al.2020 · 399 citationsInternational Conference on Learning Representations (ICLR), 2021
Graph Neural Networks in Particle Physics2007.13681v2 · Jonathan Shlomi, Peter Battaglia, Jean-Roch Vlimant2020 · 270 citationsarXiv
Predicting the long-term stability of compact multiplanet systems.32675234 · Tamayo, Daniel, Cranmer, Miles, Hadden, Samuel et al.2020 · 108 citationsProceedings of the National Academy of Sciences of the United States of America. 2020;117(31):18194-18205
Discovering Symbolic Models from Deep Learning with Inductive Biases2006.11287v2 · Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia et al.2020 · 297 citationsarXiv
Lagrangian Neural Networks2003.04630v2 · Miles Cranmer, Sam Greydanus, Stephan Hoyer et al.2020 · 256 citationsarXiv
PolyGen: An Autoregressive Generative Model of 3D Meshes2002.10880v1 · Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami et al.2020 · 82 citationsarXiv
Learning to Simulate Complex Physics with Graph Networks2002.09405v2 · Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff et al.2020 · 601 citationsarXiv
Combining Q-Learning and Search with Amortized Value Estimates1912.02807v2 · Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez et al.2019 · 30 citationsarXiv
Object-oriented state editing for HRL1910.14361v1 · Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams et al.2019 · 1 citationarXiv
Hamiltonian Graph Networks with ODE Integrators1909.12790v1 · Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer et al.2019 · 100 citationsarXiv
Learning Symbolic Physics with Graph Networks1909.05862v2 · Miles D. Cranmer, Rui Xu, Peter Battaglia et al.2019 · 56 citationsarXiv
Modeling human intuitions about liquid flow with particle-based simulation.31329579 · Bates, Christopher J, Yildirim, Ilker, Tenenbaum, Joshua B et al.2019 · 54 citationsPLoS computational biology. 2019;15(7):e1007210
Structured agents for physical construction1904.03177v2 · Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch et al.2019 · 49 citationsarXiv
Causal Reasoning from Meta-reinforcement Learning1901.08162v1 · Ishita Dasgupta, Jane Wang, Silvia Chiappa et al.2019 · 71 citationsarXiv
CompILE: Compositional Imitation Learning and Execution1812.01483v2 · Thomas Kipf, Yujia Li, Hanjun Dai et al.2018 · 36 citationsarXiv
Relational Forward Models for Multi-Agent Learning1809.11044v1 · Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano et al.2018 · 53 citationsarXiv
Learning Visual Question Answering by Bootstrapping Hard Attention1808.00300v1 · Mateusz Malinowski, Carl Doersch, Adam Santoro et al.2018 · 108 citationsarXiv
Different physical intuitions exist between tasks, not domains3ukzp_v1 · Kevin Smith, Peter Battaglia, Edward Vul2018 · 32 citationsPsyArXiv
Career total: 130 works. 79 are in this corpus.Showing the 50 most recent.
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