Battaglia, Peter

Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 1,466

A simple neural network module for relational reasoning

Santoro, A., Raposo, D., Barrett, D. G. T., Malinowski, M., Pascanu, R., Battaglia, P., & Lillicrap, T. (2017) · arXiv

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 1,281

Interaction Networks for Learning about Objects, Relations and Physics

Battaglia, P. W., Pascanu, R., Lai, M., Rezende, D., & Kavukcuoglu, K. (2016) · arXiv

Model Reduction and Neural NetworksReinforcement Learning in Robotics

Cited by 969

Simulation as an engine of physical scene understanding

Battaglia, P. W., Hamrick, J. B., & Tenenbaum, J. B. (2013) · Proceedings of the National Academy of Sciences

Visual perception and processing mechanismsBayesian Modeling and Causal Inference

Cited by 681

Neural general circulation models for weather and climate

Kochkov, D., Yuval, J., Langmore, I., Norgaard, P., Smith, J., Mooers, G., Klöwer, M., Lottes, J., Rasp, S., Düben, P., et al. (2024) · Nature

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 454

Probabilistic weather forecasting with machine learning

Price, I., Sanchez-Gonzalez, A., Alet, F., Andersson, T. R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P., et al. (2025) · Nature

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 434

Graph networks as learnable physics engines for inference and control

Sanchez-Gonzalez, A., Heess, N., Springenberg, J. T., Merel, J., Riedmiller, M., Hadsell, R., & Battaglia, P. (2018) · arXiv

Reinforcement Learning in RoboticsModel Reduction and Neural Networks

Cited by 387

WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

Rasp, S., Hoyer, S., Merose, A., Langmore, I., Battaglia, P., Russell, T., Sanchez‐Gonzalez, A., Yang, V., Carver, R., Agrawal, S., et al. (2024) · Journal of Advances in Modeling Earth Systems

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 245

Mind games: Game engines as an architecture for intuitive physics

Ullman, T. D., Spelke, E., Battaglia, P., & Tenenbaum, J. B. (2017) · Trends in Cognitive Sciences

Child and Animal Learning DevelopmentSpatial Cognition and Navigation

Cited by 234

Generating Images with Sparse Representations

Nash, C., Menick, J., Dieleman, S., & Battaglia, P. W. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 226

GraphCast: Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2022) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 154

Intuitive physics learning in a deep-learning model inspired by developmental psychology

Piloto, L. S., Weinstein, A., Battaglia, P., & Botvinick, M. (2022) · Nature Human Behaviour

Child and Animal Learning DevelopmentReinforcement Learning in Robotics

Cited by 118

Causal Reasoning from Meta-reinforcement Learning

Dasgupta, I., Wang, J., Chiappa, S., Mitrovic, J., Ortega, P., Raposo, D., Hughes, E., Battaglia, P., Botvinick, M., & Kurth-Nelson, Z. (2019) · arXiv

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 71