Samuel Kessler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Bayesian Inference

Automatic Speech Recognition

Top Venues

Publications

Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR (2024)
Samuel Kessler, Tam Le, Vu Nguyen
SAVA: Scalable Learning-Agnostic Data Valuation. CoRR (2024)
Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
On Sequential Bayesian Inference for Continual Learning. CoRR (2023)
Kieran Wood, Samuel Kessler, Stephen J. Roberts, Stefan Zohren
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. CoRR (2023)
Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
On Sequential Bayesian Inference for Continual Learning. Entropy 25 (6) (2023)
Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs (2023)
Jérôme Hergueux, Samuel Kessler
Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CHI (2022)
Jérôme Hergueux, Samuel Kessler
Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CoRR (2022)
Samuel Kessler, Piotr Milos, Jack Parker-Holder, Stephen J. Roberts
The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning. CoRR (2022)
Bethan Thomas, Samuel Kessler, Salah Karout
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. ICASSP (2022)
Bethan Thomas, Samuel Kessler, Salah Karout
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. CoRR (2022)
Samuel Kessler, Bethan Thomas, Salah Karout
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning. ICASSP (2022)
Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI (2022)
Samuel Kessler, Bethan Thomas, Salah Karout
Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition. CoRR (2021)
Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR (2021)
Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts
Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI (2021)
Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts
Indian Buffet Neural Networks for Continual Learning. CoRR (2019)