VIABLE: Fast Adaptation via Backpropagating Learned Loss. - Leo Feng; Luisa M. Zintgraf; Bei Peng 001; Shimon Whiteson (CoRR, 2019)

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. - Luisa M. Zintgraf; Leo Feng; Maximilian Igl; Kristian Hartikainen; Katja Hofmann; Shimon Whiteson (CoRR, 2020)

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. - Luisa M. Zintgraf; Leo Feng; Cong Lu; Maximilian Igl; Kristian Hartikainen; Katja Hofmann; Shimon Whiteson (ICML, 2021)

VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. - Luisa M. Zintgraf; Sebastian Schulze; Cong Lu; Leo Feng; Maximilian Igl; Kyriacos Shiarlis; Yarin Gal; Katja Hofmann; Shimon Whiteson (J. Mach. Learn. Res., 2021)

Continuous-Time Meta-Learning with Forward Mode Differentiation. - Tristan Deleu; David Kanaa; Leo Feng; Giancarlo Kerg; Yoshua Bengio; Guillaume Lajoie; Pierre-Luc Bacon (ICLR, 2022)

Stop Overcomplicating Selective Classification: Use Max-Logit. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (CoRR, 2022)

Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization. - Leo Feng; Padideh Nouri; Aneri Muni; Yoshua Bengio; Pierre-Luc Bacon (CoRR, 2022)

Towards Better Selective Classification. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (ICLR, 2023)

Latent Bottlenecked Attentive Neural Processes. - Leo Feng; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2023)

Constant Memory Attentive Neural Processes. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (CoRR, 2023)

Tree Cross Attention. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2024)

Memory Efficient Neural Processes via Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICML, 2024)

Generative Active Learning for the Search of Small-molecule Protein Binders. - Maksym Korablyov; Cheng-Hao Liu; Moksh Jain; Almer M. van der Sloot; Eric Jolicoeur; Edward Ruediger; Andrei Cristian Nica; Emmanuel Bengio; Kostiantyn Lapchevskyi; Daniel St-Cyr; Doris Alexandra Schuetz; Victor Ion Butoi; et al. (CoRR, 2024)

Attention as an RNN. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Mohamed Osama Ahmed; Yoshua Bengio; Greg Mori (CoRR, 2024)

Were RNNs All We Needed? - Leo Feng; Frederick Tung; Mohamed Osama Ahmed; Yoshua Bengio; Hossein Hajimirsadeghi (CoRR, 2024)

Adaptive teachers for amortized samplers. - Minsu Kim 004; Sanghyeok Choi; Taeyoung Yun; Emmanuel Bengio; Leo Feng; Jarrid Rector-Brooks; Sungsoo Ahn; Jinkyoo Park; Nikolay Malkin; Yoshua Bengio (ICLR, 2025)