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Peter Battaglia
Peter Battaglia
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
23252018
A simple neural network module for relational reasoning
A Santoro, D Raposo, DG Barrett, M Malinowski, R Pascanu, P Battaglia, ...
Advances in neural information processing systems 30, 2017
14632017
Interaction networks for learning about objects, relations and physics
P Battaglia, R Pascanu, M Lai, DJ Rezende, K Kavukcuoglu
Advances in Neural Information Processing Systems 2016, 4502-4510, 2016
12032016
Simulation as an engine of physical scene understanding
PW Battaglia, JB Hamrick, JB Tenenbaum
Proceedings of the National Academy of Sciences 110 (45), 18327-18332, 2013
7592013
Bayesian integration of visual and auditory signals for spatial localization
PW Battaglia, RA Jacobs, RN Aslin
Josa a 20 (7), 1391-1397, 2003
5562003
Learning deep generative models of graphs
Y Li, O Vinyals, C Dyer, R Pascanu, P Battaglia
arXiv preprint arXiv:1803.03324, 2018
4892018
Learning to simulate complex physics with graph networks
A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia
International Conference on Machine Learning, 8459-8468, 2020
4862020
Graph networks as learnable physics engines for inference and control
A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ...
International Conference on Machine Learning, 4470-4479, 2018
4622018
Unsupervised learning of 3d structure from images
D Jimenez Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, ...
Advances in neural information processing systems 29, 2016
3822016
Deep reinforcement learning with relational inductive biases
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
International conference on learning representations, 2018
354*2018
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
3472017
Visual interaction networks: Learning a physics simulator from video
N Watters, D Zoran, T Weber, P Battaglia, R Pascanu, A Tacchetti
Advances in neural information processing systems 30, 2017
3172017
Lagrangian neural networks
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
arXiv preprint arXiv:2003.04630, 2020
2572020
Learning mesh-based simulation with graph networks
T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia
arXiv preprint arXiv:2010.03409, 2020
2252020
Imagination-augmented agents for deep reinforcement learning
T Weber, S Racaniere, DP Reichert, L Buesing, A Guez, DJ Rezende, ...
arXiv preprint arXiv:1707.06203, 2017
2162017
Discovering symbolic models from deep learning with inductive biases
M Cranmer, A Sanchez Gonzalez, P Battaglia, R Xu, K Cranmer, ...
Advances in Neural Information Processing Systems 33, 17429-17442, 2020
2082020
Hyperbolic attention networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
1822018
Mind games: Game engines as an architecture for intuitive physics
TD Ullman, E Spelke, P Battaglia, JB Tenenbaum
Trends in cognitive sciences 21 (9), 649-665, 2017
1622017
Graph neural networks in particle physics
J Shlomi, P Battaglia, JR Vlimant
Machine Learning: Science and Technology 2 (2), 021001, 2020
1522020
Advancing mathematics by guiding human intuition with AI
A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ...
Nature 600 (7887), 70-74, 2021
1302021
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