Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Alvaro Sanchez-Gonzalez

ETA Prediction with Graph Neural Networks in Google Maps


Aug 25, 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 Veličković

* To appear at CIKM 2021 (Applied Research Track). 10 pages, 4 figures 

  Access Paper or Ask Questions

Large-scale graph representation learning with very deep GNNs and self-supervision


Jul 20, 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 Veličković

* To appear at KDD Cup 2021. 13 pages, 3 figures. All authors contributed equally 

  Access Paper or Ask Questions

Very Deep Graph Neural Networks Via Noise Regularisation


Jun 15, 2021
Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia


  Access Paper or Ask Questions

Learning Mesh-Based Simulation with Graph Networks


Oct 07, 2020
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia


  Access Paper or Ask Questions

Discovering Symbolic Models from Deep Learning with Inductive Biases


Jun 19, 2020
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho

* 9 pages content + 14 pages appendix/references. Supporting code found at https://github.com/MilesCranmer/symbolic_deep_learning 

  Access Paper or Ask Questions

Learning to Simulate Complex Physics with Graph Networks


Feb 21, 2020
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia

* Submitted to ICML 2020 

  Access Paper or Ask Questions

Combining Q-Learning and Search with Amortized Value Estimates


Jan 10, 2020
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia

* Published as a conference paper at ICLR 2020 

  Access Paper or Ask Questions

Object-oriented state editing for HRL


Oct 31, 2019
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick

* 8 pages; accepted to the Perception as Generative Reasoning workshop of the 33rd Conference on Neural InformationProcessing Systems (NeurIPS 2019) 

  Access Paper or Ask Questions

Hamiltonian Graph Networks with ODE Integrators


Sep 27, 2019
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter Battaglia


  Access Paper or Ask Questions

Structured agents for physical construction


May 13, 2019
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick

* ICML 2019 

  Access Paper or Ask Questions

Relational inductive biases, deep learning, and graph networks


Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu


  Access Paper or Ask Questions

Graph networks as learnable physics engines for inference and control


Jun 04, 2018
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, Peter Battaglia

* ICML 2018 

  Access Paper or Ask Questions