Peter W. Battaglia

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 91

Top Venues

Publications

Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. ICLR (2023)
Pablo Lemos, Niall Jeffrey, Miles D. Cranmer, Shirley Ho, Peter W. Battaglia
Rediscovering orbital mechanics with machine learning. Mach. Learn. Sci. Technol. 4 (4) (2023)
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi Lam, Matthew Willson
GenCast: Diffusion-based ensemble forecasting for medium-range weather. CoRR (2023)
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR (2023)
Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
Neural General Circulation Models. CoRR (2023)
Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld
Diffusion Generative Inverse Design. CoRR (2023)
Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Learning rigid dynamics with face interaction graph networks. ICLR (2023)
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. CoRR (2022)
Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin
Learned Force Fields Are Ready For Ground State Catalyst Discovery. CoRR (2022)
Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
Physical Design using Differentiable Learned Simulators. CoRR (2022)
Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Learning rigid dynamics with face interaction graph networks. CoRR (2022)
Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
Constraint-based graph network simulator. ICML (2022)
Pablo Lemos, Niall Jeffrey, Miles D. Cranmer, Shirley Ho, Peter W. Battaglia
Rediscovering orbital mechanics with machine learning. CoRR (2022)
Kimberly Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
Learned Simulators for Turbulence. ICLR (2022)
Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi
TF-GNN: Graph Neural Networks in TensorFlow. CoRR (2022)
Charlie Nash, João Carreira, Jacob Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR (2022)
Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia
MultiScale MeshGraphNets. CoRR (2022)
Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR (2022)
Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff
Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL (2022)
Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia
GraphCast: Learning skillful medium-range global weather forecasting. CoRR (2022)
Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS (2022)
Jonathan Shlomi, Peter W. Battaglia, Jean-Roch Vlimant
Graph neural networks in particle physics. Mach. Learn. Sci. Technol. 2 (2) (2021)
Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Velickovic
Large-scale graph representation learning with very deep GNNs and self-supervision. CoRR (2021)
Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia
Constraint-based graph network simulator. CoRR (2021)
Miles D. Cranmer, Daniel Tamayo, Hanno Rein, Peter W. Battaglia, Samuel Hadden, Philip J. Armitage, Shirley Ho, David N. Spergel
A Bayesian neural network predicts the dissolution of compact planetary systems. CoRR (2021)
Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Very Deep Graph Neural Networks Via Noise Regularisation. CoRR (2021)
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
ETA Prediction with Graph Neural Networks in Google Maps. CIKM (2021)
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
Generating images with sparse representations. ICML (2021)
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
ETA Prediction with Graph Neural Networks in Google Maps. CoRR (2021)
Kimberly L. Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
Learned Coarse Models for Efficient Turbulence Simulation. CoRR (2021)
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
Advancing mathematics by guiding human intuition with AI. Nat. 600 (7887) (2021)
Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark
Learning ground states of quantum Hamiltonians with graph networks. CoRR (2021)
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
Learning Mesh-Based Simulation with Graph Networks. ICLR (2021)
Kimberly L. Stachenfeld, Jonathan Godwin, Peter W. Battaglia
Graph Networks with Spectral Message Passing. CoRR (2021)
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
Generating Images with Sparse Representations. CoRR (2021)
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
Learning Mesh-Based Simulation with Graph Networks. CoRR (2020)
Miles D. Cranmer, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Rui Xu, Kyle Cranmer, David N. Spergel, Shirley Ho
Discovering Symbolic Models from Deep Learning with Inductive Biases. NeurIPS (2020)
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
Learning to Simulate Complex Physics with Graph Networks. CoRR (2020)
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
Combining Q-Learning and Search with Amortized Value Estimates. ICLR (2020)
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
PolyGen: An Autoregressive Generative Model of 3D Meshes. ICML (2020)
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
PolyGen: An Autoregressive Generative Model of 3D Meshes. CoRR (2020)
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
Learning to Simulate Complex Physics with Graph Networks. ICML (2020)
Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho
Lagrangian Neural Networks. CoRR (2020)
Miles D. Cranmer, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Rui Xu, Kyle Cranmer, David N. Spergel, Shirley Ho
Discovering Symbolic Models from Deep Learning with Inductive Biases. CoRR (2020)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. CoRR (2019)
Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia
CompILE: Compositional Imitation Learning and Execution. ICML (2019)
Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia
Modeling human intuitions about liquid flow with particle-based simulation. PLoS Comput. Biol. 15 (7) (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. ICML (2019)
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
Combining Q-Learning and Search with Amortized Value Estimates. CoRR (2019)
Miles D. Cranmer, Rui Xu, Peter W. Battaglia, Shirley Ho
Learning Symbolic Physics with Graph Networks. CoRR (2019)
Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia
Relational Forward Models for Multi-Agent Learning. ICLR (Poster) (2019)
Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew Botvinick, Zeb Kurth-Nelson
Causal Reasoning from Meta-reinforcement Learning. CoRR (2019)
Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew Botvinick
A resource-rational model of physical abstraction for efficient mental simulation. CogSci (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
Object-oriented state editing for HRL. CoRR (2019)
Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter W. Battaglia
Deep reinforcement learning with relational inductive biases. ICLR (Poster) (2019)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. ICLR (Poster) (2019)
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter W. Battaglia
Hamiltonian Graph Networks with ODE Integrators. CoRR (2019)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR (2018)
Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia
Relational Forward Models for Multi-Agent Learning. CoRR (2018)
Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter W. Battaglia
Relational Deep Reinforcement Learning. CoRR (2018)
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
Relational inductive biases, deep learning, and graph networks. CoRR (2018)
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
Graph Networks as Learnable Physics Engines for Inference and Control. ICML (2018)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) (2018)
Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia
Compositional Imitation Learning: Explaining and executing one task at a time. CoRR (2018)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. CoRR (2018)
Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia
Modeling human intuitions about liquid flow with particle-based simulation. CoRR (2018)
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter W. Battaglia
Learning Deep Generative Models of Graphs. CoRR (2018)
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
Graph networks as learnable physics engines for inference and control. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CogSci (2018)
David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Timothy P. Lillicrap, Peter W. Battaglia
Discovering objects and their relations from entangled scene representations. CoRR (2017)
Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
Metacontrol for Adaptive Imagination-Based Optimization. ICLR (Poster) (2017)
David Raposo, Peter Dayan, Demis Hassabis, Peter W. Battaglia
A model of structure learning, inference, and generation for scene understanding. CogSci (2017)
Sébastien Racanière, Theophane Weber, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, Demis Hassabis, David Silver, Daan Wierstra
Imagination-Augmented Agents for Deep Reinforcement Learning. NIPS (2017)
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Tim Lillicrap
A simple neural network module for relational reasoning. NIPS (2017)
Theophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, David Silver, Daan Wierstra
Imagination-Augmented Agents for Deep Reinforcement Learning. CoRR (2017)
Nicholas Watters, Daniel Zoran, Theophane Weber, Peter W. Battaglia, Razvan Pascanu, Andrea Tacchetti
Visual Interaction Networks: Learning a Physics Simulator from Video. NIPS (2017)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. ICLR (Poster) (2017)
Nicholas Watters, Andrea Tacchetti, Theophane Weber, Razvan Pascanu, Peter W. Battaglia, Daniel Zoran
Visual Interaction Networks. CoRR (2017)
Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
Metacontrol for Adaptive Imagination-Based Optimization. CoRR (2017)
Razvan Pascanu, Yujia Li, Oriol Vinyals, Nicolas Heess, Lars Buesing, Sébastien Racanière, David P. Reichert, Theophane Weber, Daan Wierstra, Peter W. Battaglia
Learning model-based planning from scratch. CoRR (2017)
Matthew Botvinick, David G. T. Barrett, Peter W. Battaglia, Nando de Freitas, Dharshan Kumaran, Joel Z. Leibo, Tim Lillicrap, Joseph Modayil, S. Mohamed, Neil C. Rabinowitz, Danilo Jimenez Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. CoRR (2017)
David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Tim Lillicrap, Peter W. Battaglia
Discovering objects and their relations from entangled scene representations. ICLR (Workshop) (2017)
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Timothy P. Lillicrap
A simple neural network module for relational reasoning. CoRR (2017)
Matthew Botvinick, Peter W. Battaglia
Tutorial: Recent Advances in Deep Learning. CogSci (2017)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. CoRR (2016)
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess
Unsupervised Learning of 3D Structure from Images. CoRR (2016)
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess
Unsupervised Learning of 3D Structure from Images. NIPS (2016)
Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu
Interaction Networks for Learning about Objects, Relations and Physics. NIPS (2016)
Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu
Interaction Networks for Learning about Objects, Relations and Physics. CoRR (2016)
Christopher Bates, Peter W. Battaglia, Ilker Yildirim, Joshua B. Tenenbaum
Humans predict liquid dynamics using probabilistic simulation. CogSci (2015)
Katherine L. Bouman, Bei Xiao, Peter W. Battaglia, William T. Freeman
Estimating the Material Properties of Fabric from Video. ICCV (2013)
Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum
Inferring mass in complex physical scenes via probabilistic simulation. CogSci (2013)
Kevin A. Smith, Peter W. Battaglia, Edward Vul
Consistent physics underlying ballistic motion prediction. CogSci (2013)
Peter W. Battaglia, Tomer Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado
Computational Models of Intuitive Physics. CogSci (2012)
Peter W. Battaglia, Daniel J. Kersten, Paul R. Schrater
How Haptic Size Sensations Improve Distance Perception. PLoS Comput. Biol. 7 (6) (2011)
Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum
Probabilistic internal physics models guide judgments about object dynamics. CogSci (2011)
Peter W. Battaglia, Massimiliano Di Luca, Marc O. Ernst, Paul R. Schrater, Tonja Machulla, Daniel J. Kersten
Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLoS Comput. Biol. 6 (3) (2010)
Peter W. Battaglia, Paul R. Schrater, Daniel J. Kersten
Auxiliary object knowledge influences visually-guided interception behavior. APGV (2005)

Peter W. Battaglia.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peter W. Battaglia