Battaglia, Peter

31 publications

ICLRW 2023 Beyond Temporal Credit Assignment in Reinforcement Learning Sephora Madjiheurem, Kim Stachenfeld, Peter Battaglia, Jessica B Hamrick

ICMLW 2023 Diffusion Generative Inverse Design Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R Allen, Peter Battaglia, Arnaud Doucet, Kim Stachenfeld

ICLR 2023 Learning Rigid Dynamics with Face Interaction Graph Networks Kelsey R Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William F Whitney, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff

ICLR 2023 Pre-Training via Denoising for Molecular Property Prediction Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter Battaglia, Razvan Pascanu, Jonathan Godwin

TMLR 2023 Transframer: Arbitrary Frame Prediction with Generative Models Charlie Nash, Joao Carreira, Jacob C Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter Battaglia

ICML 2022 Constraint-Based Graph Network Simulator Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter Battaglia

CoRL 2022 Graph Network Simulators Can Learn Discontinuous, Rigid Contact Dynamics Kelsey R Allen, Tatiana Lopez Guevara, Yulia Rubanova, Kim Stachenfeld, Alvaro Sanchez-Gonzalez, Peter Battaglia, Tobias Pfaff

NeurIPS 2022 Inverse Design for Fluid-Structure Interactions Using Graph Network Simulators Kelsey Allen, Tatiana Lopez-Guevara, Kimberly L Stachenfeld, Alvaro Sanchez Gonzalez, Peter Battaglia, Jessica B Hamrick, Tobias Pfaff

ICLR 2022 Learned Simulators for Turbulence Kim Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter Battaglia, Alvaro Sanchez-Gonzalez

ICMLW 2022 MultiScale MeshGraphNets Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter Battaglia

NeurIPSW 2022 Pre-Training via Denoising for Molecular Property Prediction Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter Battaglia, Razvan Pascanu, Jonathan Godwin

ICLR 2022 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond Jonathan Godwin, Michael Schaarschmidt, Alexander L Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia

ICML 2021 Generating Images with Sparse Representations Charlie Nash, Jacob Menick, Sander Dieleman, Peter Battaglia

ICLR 2021 Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter Battaglia

NeurIPSW 2020 Continuous Latent Search for Combinatorial Optimization Sergey Bartunov, Vinod Nair, Peter Battaglia, Tim Lillicrap

NeurIPS 2020 Discovering Symbolic Models from Deep Learning with Inductive Biases Miles Cranmer, Alvaro Sanchez Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho

ICLRW 2020 Lagrangian Neural Networks Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, Shirley Ho

ICML 2020 Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter Battaglia

ICML 2020 PolyGen: An Autoregressive Generative Model of 3D Meshes Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter Battaglia

ICML 2019 CompILE: Compositional Imitation Learning and Execution Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia

ICLR 2019 Deep Reinforcement Learning with Relational Inductive Biases Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia

ICLR 2019 Hyperbolic Attention Networks Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas

ICML 2019 Structured Agents for Physical Construction Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jessica Hamrick

ICML 2018 Graph Networks as Learnable Physics Engines for Inference and Control Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, Peter Battaglia

ECCV 2018 Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia

NeurIPS 2017 A Simple Neural Network Module for Relational Reasoning Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap

NeurIPS 2017 Imagination-Augmented Agents for Deep Reinforcement Learning Sébastien Racanière, Theophane Weber, David Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra

NeurIPS 2017 Visual Interaction Networks: Learning a Physics Simulator from Video Nicholas Watters, Daniel Zoran, Theophane Weber, Peter Battaglia, Razvan Pascanu, Andrea Tacchetti

NeurIPS 2016 Interaction Networks for Learning About Objects, Relations and Physics Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu

NeurIPS 2016 Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess

ICCV 2013 Estimating the Material Properties of Fabric from Video Katherine L. Bouman, Bei Xiao, Peter Battaglia, William T. Freeman