Victor Bapst - RankMe

30 papers A* 2B 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR 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
2020	A*	`conf`	Combining Q-Learning and Search with Amortized Value Estimates. ICLR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2019	J	`jnl`	Combining Q-Learning and Search with Amortized Value Estimates. CoRR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2019	—	`conf`	Deep reinforcement learning with relational inductive biases. ICLR (Poster) 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
2019	J	`jnl`	Hamiltonian Graph Networks with ODE Integrators. CoRR Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter W. Battaglia
2019	—	`conf`	Hyperbolic Attention Networks. ICLR (Poster) 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
2019	J	`jnl`	Object-oriented state editing for HRL. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
2019	A*	`conf`	Structured agents for physical construction. ICML Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2019	J	`jnl`	Structured agents for physical construction. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2018	J	`jnl`	Hyperbolic Attention Networks. CoRR 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
2018	J	`jnl`	Relational Deep Reinforcement Learning. CoRR 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
2018	B	`conf`	Relational inductive bias for physical construction in humans and machines. CogSci Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive bias for physical construction in humans and machines. CoRR Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR 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
2017	J	`jnl`	Distral: Robust Multitask Reinforcement Learning. CoRR Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
2017	—	`conf`	Distral: Robust multitask reinforcement learning. NIPS Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
2017	J	`jnl`	Planting Colourings Silently. Comb. Probab. Comput. Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou
2017	—	`conf`	Sample Efficient Actor-Critic with Experience Replay. ICLR (Poster) Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
2016	J	`jnl`	Harnessing the Bethe free energy. Random Struct. Algorithms Victor Bapst, Amin Coja-Oghlan
2016	J	`jnl`	Sample Efficient Actor-Critic with Experience Replay. CoRR Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
2016	—	`conf`	The Condensation Phase Transition in the Regular k-SAT Model. APPROX-RANDOM Victor Bapst, Amin Coja-Oghlan
2015	—	`conf`	Harnessing the Bethe Free Energy. APPROX-RANDOM Victor Bapst, Amin Coja-Oghlan
2015	J	`jnl`	Harnessing the Bethe free energy. CoRR Victor Bapst, Amin Coja-Oghlan
2015	J	`jnl`	The condensation phase transition in the regular k-SAT model. CoRR Victor Bapst, Amin Coja-Oghlan
2014	J	`jnl`	A positive temperature phase transition in random hypergraph 2-coloring. CoRR Victor Bapst, Amin Coja-Oghlan, Felicia Raßmann
2014	J	`jnl`	Planting colourings silently. CoRR Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou
2014	—	`conf`	The Condensation Phase Transition in Random Graph Coloring. APPROX-RANDOM Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich, Felicia Raßmann, Dan Vilenchik
2014	J	`jnl`	The condensation phase transition in random graph coloring. CoRR Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich, Felicia Raßmann, Dan Vilenchik
2013	J	`jnl`	The effect of quantum fluctuations on the coloring of random graphs CoRR Victor Bapst, Guilhem Semerjian, Francesco Zamponi
2012	J	`jnl`	The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective CoRR Victor Bapst, Laura Foini, Florent Krzakala, Guilhem Semerjian, Francesco Zamponi