Kessler, Samuel

7 publications

ICLR 2025 SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler, Tam Le, Vu Nguyen

NeurIPS 2024 Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose

NeurIPSW 2024 On Efficient Distillation from LLMs to SLMs Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Rühle

CoLLAs 2023 The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler, Mateusz Ostaszewski, MichałPaweł Bortkiewicz, Mateusz Żarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Miłoś

AAAI 2022 Same State, Different Task: Continual Reinforcement Learning Without Interference Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts

NeurIPSW 2022 The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning Samuel Kessler, Piotr Miłoś, Jack Parker-Holder, Stephen J. Roberts

UAI 2021 Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts