Peter Battaglia - Concepedia

Author

Peter Battaglia

Also Known As

Battaglia, P., Battaglia, Peter, Battaglia, Peter W., P. Battaglia, P. W Battaglia, P. W. Battaglia, Peter Battaglia, Peter W Battaglia, Peter W. Battaglia, Stott, Jacklynn

128

Publications

12.3K

Citations

H-Index

145

Concepts

All Affiliations

Google (United States)Massachusetts Institute of Technology Google DeepMind (United Kingdom)Princeton University Google (United Kingdom)

About

Peter Battaglia is an author at Google (United States) specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	35	55	9.1K
2	Natural Sciences	5	5	265
3	Business	2	2	478
4	Health Sciences	1	1	112
5	Medicine	1	1	30

Peter Battaglia

Publications

11.6K

Citations

H-Index

Page 1

	Year	Citations
Relational inductive biases, deep learning, and graph networks Peter Battaglia, Jessica B. Hamrick, Victor Bapst, arXiv (Cornell University) Artificial IntelligenceLarge Ai ModelCognitive ScienceEngineeringMachine Learning	2018	2.4K
Learning skillful medium-range global weather forecasting Rémi Lam, Álvaro Sánchez‐González, Matthew Willson, Science MeteorologyForecasting MethodologyHydrological PredictionEngineeringMachine Learning	2023	948
Simulation as an engine of physical scene understanding Peter Battaglia, Jessica B. Hamrick, Joshua B. Tenenbaum Proceedings of the National Academy of Sciences	2013	698
Interaction Networks for Learning about Objects, Relations and Physics Peter Battaglia, Razvan Pascanu, Matthew Lai, arXiv (Cornell University) Artificial IntelligenceGeometric LearningPhysics-based VisionEngineeringMachine Learning	2016	575
A simple neural network module for relational reasoning Adam Santoro, David Raposo, David G. T. Barrett, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDeep Learning ArchitectureStatistical Relational Learning	2017	500
Learning Deep Generative Models of Graphs Yujia Li, Oriol Vinyals, Chris Dyer, arXiv (Cornell University) EngineeringMachine LearningDeep Generative ModelsGraph ProcessingKnowledge Graph Embeddings	2018	446
Learning to Simulate Complex Physics with Graph Networks Álvaro Sánchez‐González, Jonathan Godwin, Tobias Pfaff, arXiv (Cornell University) Geometric LearningEngineeringMachine LearningMachine Learning ToolNetwork Analysis	2020	445
Bayesian integration of visual and auditory signals for spatial localization Peter Battaglia, Robert A. Jacobs, Richard Ν. Aslin Journal of the Optical Society of America A EngineeringBayesian IntegrationCognitionLocalization TechniquePerception	2003	434
Advancing mathematics by guiding human intuition with AI Alex Davies, Petar Veličković, Lars Buesing, Nature	2021	406
Graph networks as learnable physics engines for inference and control Álvaro Sánchez‐González, Nicolas Heess, Jost Tobias Springenberg, arXiv (Cornell University) Artificial IntelligenceGeometric LearningEngineeringMachine LearningGraph Networks	2018	279

Page 1