Sign in
Leo Feng
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 14
Top Topics
State Space
Biological Sequences
Exploration Exploitation
Reinforcement Learning
Top Venues
CoRR
ICLR
J. Mach. Learn. Res.
ICML
</>
Publications
</>
Leo Feng
,
Hossein Hajimirsadeghi
,
Yoshua Bengio
,
Mohamed Osama Ahmed
Latent Bottlenecked Attentive Neural Processes.
ICLR
(2023)
Leo Feng
,
Frederick Tung
,
Hossein Hajimirsadeghi
,
Yoshua Bengio
,
Mohamed Osama Ahmed
Constant Memory Attention Block.
CoRR
(2023)
Leo Feng
,
Mohamed Osama Ahmed
,
Hossein Hajimirsadeghi
,
Amir H. Abdi
Towards Better Selective Classification.
ICLR
(2023)
Leo Feng
,
Frederick Tung
,
Hossein Hajimirsadeghi
,
Yoshua Bengio
,
Mohamed Osama Ahmed
Constant Memory Attentive Neural Processes.
CoRR
(2023)
Leo Feng
,
Frederick Tung
,
Hossein Hajimirsadeghi
,
Yoshua Bengio
,
Mohamed Osama Ahmed
Tree Cross Attention.
CoRR
(2023)
Leo Feng
,
Padideh Nouri
,
Aneri Muni
,
Yoshua Bengio
,
Pierre-Luc Bacon
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization.
CoRR
(2022)
Tristan Deleu
,
David Kanaa
,
Leo Feng
,
Giancarlo Kerg
,
Yoshua Bengio
,
Guillaume Lajoie
,
Pierre-Luc Bacon
Continuous-Time Meta-Learning with Forward Mode Differentiation.
CoRR
(2022)
Leo Feng
,
Mohamed Osama Ahmed
,
Hossein Hajimirsadeghi
,
Amir H. Abdi
Stop Overcomplicating Selective Classification: Use Max-Logit.
CoRR
(2022)
Leo Feng
,
Hossein Hajimirsadeghi
,
Yoshua Bengio
,
Mohamed Osama Ahmed
Latent Bottlenecked Attentive Neural Processes.
CoRR
(2022)
Tristan Deleu
,
David Kanaa
,
Leo Feng
,
Giancarlo Kerg
,
Yoshua Bengio
,
Guillaume Lajoie
,
Pierre-Luc Bacon
Continuous-Time Meta-Learning with Forward Mode Differentiation.
ICLR
(2022)
Luisa M. Zintgraf
,
Leo Feng
,
Cong Lu
,
Maximilian Igl
,
Kristian Hartikainen
,
Katja Hofmann
,
Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
ICML
(2021)
Luisa M. Zintgraf
,
Sebastian Schulze
,
Cong Lu
,
Leo Feng
,
Maximilian Igl
,
Kyriacos Shiarlis
,
Yarin Gal
,
Katja Hofmann
,
Shimon Whiteson
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
J. Mach. Learn. Res.
22 (2021)
Luisa M. Zintgraf
,
Leo Feng
,
Maximilian Igl
,
Kristian Hartikainen
,
Katja Hofmann
,
Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
CoRR
(2020)
Leo Feng
,
Luisa M. Zintgraf
,
Bei Peng
,
Shimon Whiteson
VIABLE: Fast Adaptation via Backpropagating Learned Loss.
CoRR
(2019)