Leonard Hasenclever
发表
Yee Whye Teh,
Razvan Pascanu,
Hyeonwoo Noh,
2020,
J. Mach. Learn. Res..
Yee Whye Teh,
Xiaoyu Lu,
Leonard Hasenclever,
2016,
AISTATS.
Jie Gao,
Wim Hordijk,
Leonard Hasenclever,
2014,
Natural Computing.
Raia Hadsell,
Leonard Hasenclever,
Nicolas Heess,
2020,
ICML.
H. Francis Song,
Sandy H. Huang,
Martina Zambelli,
2020,
ICML.
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
pdf
Yee Whye Teh,
Thibaut Lienart,
Charles Blundell,
2015,
J. Mach. Learn. Res..
Yee Whye Teh,
Razvan Pascanu,
Hyeonwoo Noh,
2019,
ArXiv.
Jessica B. Hamrick,
John Aslanides,
Leonard Hasenclever,
2020,
ArXiv.
Yuval Tassa,
Nicolas Heess,
Tom Erez,
2019,
ArXiv.
Max Welling,
Jakub M. Tomczak,
Leonard Hasenclever,
2018,
UAI.
Yuval Tassa,
Tom Erez,
Leonard Hasenclever,
2020,
ACM Trans. Graph..
Yuval Tassa,
Tom Erez,
Leonard Hasenclever,
2019
.
Yee Whye Teh,
Razvan Pascanu,
Wojciech Czarnecki,
2019,
ICLR.
Leonard Hasenclever,
2018
.
Yee Whye Teh,
Razvan Pascanu,
Max Jaderberg,
2018,
ICML.
Yee Whye Teh,
Alexandre Galashov,
Leonard Hasenclever,
2020,
ArXiv.
Yee Whye Teh,
Nicolas Heess,
Alexandre Galashov,
2019,
ArXiv.
Yee Whye Teh,
Nicolas Heess,
Alexandre Galashov,
2018,
ICLR.
Steven Bohez,
Philemon Brakel,
Nicolas Heess,
2021,
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Martina Zambelli,
Raia Hadsell,
Dushyant Rao,
2021,
ArXiv.
Yuval Tassa,
Guy Lever,
Thore Graepel,
2021,
Sci. Robotics.
Yuval Tassa,
Alessandro Davide Ialongo,
Martin A. Riedmiller,
2021,
ICLR.
Yuval Tassa,
Gabriel Dulac-Arnold,
Nicolas Heess,
2021,
ArXiv.