Victor Bapst

According to our database, Victor Bapst authored at least 19 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

A Deep Learning Approach for Characterizing Major Galaxy Mergers.

Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

CoRR, 2021

2020

Combining Q-Learning and Search with Amortized Value Estimates.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Object-oriented state editing for HRL.

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

CoRR, 2019

Hamiltonian Graph Networks with ODE Integrators.

Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter W. Battaglia

CoRR, 2019

Structured agents for physical construction.

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

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep reinforcement learning with relational inductive biases.

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 M. Botvinick, Oriol Vinyals, Peter W. Battaglia

Proceedings of the 7th International Conference on Learning Representations, 2019

Hyperbolic Attention Networks.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Relational Deep Reinforcement Learning.

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 M. Botvinick, Oriol Vinyals, Peter W. Battaglia

CoRR, 2018

Relational inductive biases, deep learning, and graph networks.

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 M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu

CoRR, 2018

Relational inductive bias for physical construction in humans and machines.

Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Planting Colourings Silently.

Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou

Comb. Probab. Comput., 2017

Distral: Robust multitask reinforcement learning.

Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sample Efficient Actor-Critic with Experience Replay.

Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Harnessing the Bethe free energy.

Victor Bapst, Amin Coja-Oghlan

Random Struct. Algorithms, 2016

The Condensation Phase Transition in the Regular k-SAT Model.

Victor Bapst, Amin Coja-Oghlan

Proceedings of the Approximation, 2016

2014

A positive temperature phase transition in random hypergraph 2-coloring.

Victor Bapst, Amin Coja-Oghlan, Felicia Raßmann

CoRR, 2014

The Condensation Phase Transition in Random Graph Coloring.

Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich, Felicia Raßmann, Dan Vilenchik

Proceedings of the Approximation, 2014

2013

The effect of quantum fluctuations on the coloring of random graphs

Victor Bapst, Guilhem Semerjian, Francesco Zamponi

CoRR, 2013

2012

The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective

Victor Bapst, Laura Foini, Florent Krzakala, Guilhem Semerjian, Francesco Zamponi

CoRR, 2012