Peter Battaglia
- A simple neural network module for relational reasoning
2017/06/05 by Adam Santoro, David Raposo, Santoro, Adam +11 · 1 voice · 20 citations
#cs.CL #cs.LG
- Probabilistic weather forecasting with machine learning
2024/12/04 by Ilan Price, Álvaro Sánchez‐González, Ferran Alet +9 · 3 voices · 179 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Tropical and Extratropical Cyclones Research
- Discovering Symbolic Models from Deep Learning with Inductive Biases
2020/06/19 by Miles Cranmer, Alvaro Sanchez-Gonzalez, Álvaro Sánchez‐González +14 · 2 voices · 54 citations
Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #Model Reduction and Neural Networks #Neural Networks and Applications #astro-ph.CO #astro-ph.IM #cs.LG #physics.comp-ph #stat.ML
- GraphCast: Learning skillful medium-range global weather forecasting
2022/12/24 by Rémi Lam, Remi Lam, Álvaro Sánchez‐González +35 · 3 voices · 32 citations
Computer Science · Environmental Science · Physics and Astronomy · #Advanced Graph Neural Networks #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #cs.LG #physics.ao-ph
- Learning to Simulate Complex Physics with Graph Networks
2020/02/21 by Álvaro Sánchez‐González, Sanchez-Gonzalez, Alvaro, Jonathan Godwin +9 · 132 citations
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Learning skillful medium-range global weather forecasting
2023/11/14 by Rémi Lam, Álvaro Sánchez‐González, Matthew Willson +15 · 182 citations
Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research
- GenCast: Diffusion-based ensemble forecasting for medium-range weather
2023/12/25 by Ilan Price, Álvaro Sánchez‐González, Alvaro Sanchez-Gonzalez +23 · 3 voices · 38 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #cs.LG #physics.ao-ph
- Lagrangian Neural Networks
2020/03/10 by Miles Cranmer, Sam Greydanus, Cranmer, Miles +10 · 1 voice · 63 citations
Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #Model Reduction and Neural Networks #Topic Modeling #cs.LG #math.DS #physics.comp-ph #physics.data-an #stat.ML
- Interaction Networks for Learning about Objects, Relations and Physics
2016/12/01 by Peter Battaglia, Battaglia, Peter W., Razvan Pascanu +7 · 45 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
- WeatherBench 2: A benchmark for the next generation of data-driven global weather models
2023/08/29 by Stephan Rasp, Rasp, Stephan, Stephan Hoyer +33 · 73 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Hydrological Forecasting Using AI
- Causal Reasoning from Meta-reinforcement Learning
2019/01/23 by Ishita Dasgupta, Dasgupta, Ishita, Jane Wang +20 · 1 voice · 13 citations
Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
- Graph networks as learnable physics engines for inference and control
2018/06/04 by Álvaro Sánchez‐González, Sanchez-Gonzalez, Alvaro, Nicolas Heess +11 · 53 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Generating Images with Sparse Representations
2021/03/05 by Charlie Nash, Nash, Charlie, Jacob Menick +5 · 47 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML)
- Mind Games: Game Engines as an Architecture for Intuitive Physics
2017/06/24 by Tomer D. Ullman, Tomer Ullman, Elizabeth S. Spelke +3 · 2 voices · 8 citations
Computer Science · Neuroscience · Psychology · #Child and Animal Learning Development #Cognitive Science and Education Research #Computability, Logic, AI Algorithms
- Hyperbolic Attention Networks
2018/05/24 by Çağlar Gülçehre, Misha Denil, Gulcehre, Caglar +19 · 22 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Imagination-Augmented Agents for Deep Reinforcement Learning
2017/07/19 by Théophane Weber, Weber, Théophane, Sébastien Racanière +26 · 22 citations
Computer Science · #Reinforcement Learning in Robotics
- Visual Interaction Networks
2017/06/05 by Nicholas Watters, Watters, Nicholas, Andrea Tacchetti +9 · 23 citations
Computer Science · #Data Visualization and Analytics #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications
- Rediscovering orbital mechanics with machine learning
2022/02/04 by Pablo Lemos, Lemos, Pablo, N Jeffrey +8 · 2 voices · 12 citations
Computer Science · Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #astro-ph.EP #astro-ph.IM #cs.LG
- Hamiltonian Graph Networks with ODE Integrators
2019/09/27 by Alvaro Sanchez-Gonzalez, Álvaro Sánchez‐González, Victor Bapst +7 · 1 voice · 14 citations
Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.LG #physics.comp-ph
- Learning Deep Generative Models of Graphs
2018/03/08 by Yujia Li, Li, Yujia, Oriol Vinyals +7 · 16 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Pre-training via Denoising for Molecular Property Prediction
2022/05/31 by Sheheryar Zaidi, Michael Schaarschmidt, Zaidi, Sheheryar +15 · 13 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics
- Relational Deep Reinforcement Learning
2018/06/05 by Vinícius Zambaldi, David Raposo, Zambaldi, Vinicius +29 · 12 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Learning Symbolic Physics with Graph Networks
2019/09/12 by Miles Cranmer, Cranmer, Miles D., Rui Xu +5 · 11 citations
Computer Science · #Computational Physics (physics.comp-ph) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting #Topic Modeling
- Learning rigid dynamics with face interaction graph networks
2022/12/07 by Kelsey R. Allen, Yulia Rubanova, Allen, Kelsey R. +11 · 11 citations
Computer Science · Engineering · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robot Manipulation and Learning
- Relational inductive bias for physical construction in humans and machines
2018/06/04 by Jessica B. Hamrick, Hamrick, Jessica B., Kelsey R. Allen +11 · 10 citations
Computer Science · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Design Education and Practice #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Unsupervised Learning of 3D Structure from Images
2016/07/03 by Danilo Jimenez Rezende, Rezende, Danilo Jimenez, S. M. Ali Eslami +9 · 13 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
2021/06/15 by Jonathan Godwin, Godwin, Jonathan, Michael Schaarschmidt +13 · 6 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Learning to Perform Physics Experiments via Deep Reinforcement Learning
2016/11/06 by Misha Denil, Denil, Misha, Pulkit Agrawal +9 · 8 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Anomaly Detection Techniques and Applications #Robot Manipulation and Learning
- Relational Forward Models for Multi-Agent Learning
2018/09/28 by Andrea Tacchetti, Tacchetti, Andrea, Hui Song +13 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Neural Networks and Applications #Reinforcement Learning in Robotics
- Graph Networks with Spectral Message Passing
2020/12/31 by Kimberly Stachenfeld, Stachenfeld, Kimberly, Jonathan Godwin +3 · 3 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Transframer: Arbitrary Frame Prediction with Generative Models
2022/03/17 by Charlie Nash, João Carreira, Nash, Charlie +11 · 3 citations
Computer Science · #Advanced Vision and Imaging #Advanced Image Processing Techniques #Generative Adversarial Networks and Image Synthesis
- Skillful joint probabilistic weather forecasting from marginals
2025/06/12 by Ferran Alet, Alet, Ferran, Ilan Price +19 · 17 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research
- Structured agents for physical construction
2019/04/05 by Victor Bapst, Bapst, Victor, Álvaro Sánchez‐González +11 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
2017/11/22 by Matthew Botvinick, Botvinick, M., David G. T. Barrett +35 · 3 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
- Learning ground states of quantum Hamiltonians with graph networks
2021/10/12 by Dmitrii Kochkov, Kochkov, Dmitrii, Tobias Pfaff +7 · 1 citation
Physics and Astronomy · Materials Science · #Quantum many-body systems #Machine Learning in Materials Science #Advanced Thermodynamics and Statistical Mechanics
- Combining Q-Learning and Search with Amortized Value Estimates
2019/12/05 by Jessica B. Hamrick, Victor Bapst, Hamrick, Jessica B. +11 · 1 citation
Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics