Nicolas Sonnerat

15 papers A* 1A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.
IJCAI
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2024 J jnl
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.
CoRR
Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda
2024 J jnl
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.
CoRR
Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat, Arthur Conmy, Vikrant Varma, János Kramár, Neel Nanda
2023 J jnl
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.
CoRR
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2021 J jnl
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs.
CoRR
Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair
2020 J jnl
Solving Mixed Integer Programs Using Neural Networks.
CoRR
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
2018 J jnl
Deep Reinforcement Learning and the Deadly Triad.
CoRR
Hado van Hasselt, Yotam Doron, Florian Strub, Matteo Hessel, Nicolas Sonnerat, Joseph Modayil
2018 J jnl
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel
2018 — conf
SCAN: Learning Hierarchical Compositional Visual Concepts.
ICLR (Poster)
Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner
2018 A conf
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.
AAMAS
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
2017 J jnl
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts.
CoRR
Irina Higgins, Nicolas Sonnerat, Loïc Matthey, Arka Pal, Christopher P. Burgess, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner
2017 J jnl
Value-Decomposition Networks For Cooperative Multi-Agent Learning.
CoRR
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
2010 J jnl
Galaxy cutsets in graphs.
J. Comb. Optim.
Nicolas Sonnerat, Adrian Vetta
2010 — conf
Maximum Flows on Disjoint Paths.
APPROX-RANDOM
Guyslain Naves, Nicolas Sonnerat, Adrian Vetta
2009 J jnl
Defending Planar Graphs against Star-Cutsets.
Electron. Notes Discret. Math.
Nicolas Sonnerat, Adrian Vetta