Publications (18)
On quantum mean-field models and their quantum annealing
Victor Bapst, Guilhem Semerjian
Structured agents for physical construction
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch +4
The effect of quantum fluctuations on the coloring of random graphs
Victor Bapst, Guilhem Semerjian, Francesco Zamponi
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst +24
Thermal, quantum and simulated quantum annealing: analytical comparisons for simple models
Victor Bapst, Guilhem Semerjian
Harnessing the Bethe free energy
Victor Bapst, Amin Coja-Oghlan
Relational inductive bias for physical construction in humans and machines
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst +4
Planting colourings silently
Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou
The Large Connectivity Limit of the Anderson Model on Tree Graphs
Victor Bapst
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki +5
Sample Efficient Actor-Critic with Experience Replay
Ziyu Wang, Victor Bapst, Nicolas Heess +4
Hyperbolic Attention Networks
Caglar Gulcehre, Misha Denil, Mateusz Malinowski +8
The condensation phase transition in random graph coloring
Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich +2
A positive temperature phase transition in random hypergraph 2-coloring
Victor Bapst, Amin Coja-Oghlan, Felicia RaÃmann
Relational Deep Reinforcement Learning
Vinicius Zambaldi, David Raposo, Adam Santoro +13
The condensation phase transition in the regular $k$-SAT model
Victor Bapst, Amin Coja-Oghlan
The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective
Victor Bapst, Laura Foini, Florent Krzakala +2
Lifshitz tails on the Bethe lattice: a combinatorial approach
Victor Bapst, Guilhem Semerjian