Indian Buffet Neural Networks for Continual Learning. - Samuel Kessler; Vu Nguyen; Stefan Zohren; Stephen Roberts 001 (CoRR, 2019)

Hierarchical Indian buffet neural networks for Bayesian continual learning. - Samuel Kessler; Vu Nguyen; Stefan Zohren; Stephen J. Roberts (UAI, 2021)

Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition. - Samuel Kessler; Bethan Thomas; Salah Karout (CoRR, 2021)

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

Follow the Leader: Technical and Inspirational Leadership in Open Source Software. - Jérôme Hergueux; Samuel Kessler (CHI, 2022)

An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning. - Samuel Kessler; Bethan Thomas; Salah Karout (ICASSP, 2022)

Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. - Bethan Thomas; Samuel Kessler; Salah Karout (ICASSP, 2022)

The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning. - Samuel Kessler; Piotr Milos; Jack Parker-Holder; Stephen J. Roberts (CoRR, 2022)

The Effectiveness of World Models for Continual Reinforcement Learning. - Samuel Kessler; Mateusz Ostaszewski; Michal Pawel Bortkiewicz; Mateusz Zarski; Maciej Wolczyk; Jack Parker-Holder; Stephen J. Roberts; Piotr Milos (CoLLAs, 2023)

Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. - Kieran Wood; Samuel Kessler; Stephen J. Roberts; Stefan Zohren (CoRR, 2023)

On Sequential Bayesian Inference for Continual Learning. - Samuel Kessler; Adam D. Cobb; Tim G. J. Rudner; Stefan Zohren; Stephen J. Roberts (Entropy, 2023)

Fisher Flow Matching for Generative Modeling over Discrete Data. - Oscar Davis; Samuel Kessler; Mircea Petrache; Ismail Ilkan Ceylan; Michael M. Bronstein; Avishek Joey Bose (NeurIPS, 2024)

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

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. - Dongge Han; Menglin Xia; Daniel Madrigal Diaz; Samuel Kessler; Ankur Mallick; Xuchao Zhang; Mirian del Carmen Hipolito Garcia; Jin Xu; Victor Rühle; Saravan Rajmohan (CoRR, 2025)