Maxime Gazeau - RankMe

13 papers A* 2A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2023	A*	`conf`	In-context Reinforcement Learning with Algorithm Distillation. ICLR Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
2022	J	`jnl`	In-context Reinforcement Learning with Algorithm Distillation. CoRR Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
2022	J	`jnl`	Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. CoRR Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2021	J	`jnl`	Higher Order Generalization Error for First Order Discretization of Langevin Diffusion. CoRR Mufan (Bill) Li, Maxime Gazeau
2020	J	`jnl`	A General System of Differential Equations to Model First-Order Adaptive Algorithms. J. Mach. Learn. Res. André Belotto da Silva, Maxime Gazeau
2020	A	`conf`	An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
2019	J	`jnl`	Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
2018	J	`jnl`	A general system of differential equations to model first order adaptive algorithms. CoRR André Belotto da Silva, Maxime Gazeau
2018	J	`jnl`	Bloch Theory and Spectral Gaps for Linearized Water Waves. SIAM J. Math. Anal. Walter Craig, Maxime Gazeau, Christophe Lacave, Catherine Sulem
2018	J	`jnl`	Scalable Recommender Systems through Recursive Evidence Chains. CoRR Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud
2014	J	`jnl`	Probability and Pathwise Order of Convergence of a Semidiscrete Scheme for the Stochastic Manakov Equation. SIAM J. Numer. Anal. Maxime Gazeau