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Samuel Kessler
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2020 – today
- 2025
- [c8]Samuel Kessler, Tam Le, Vu Nguyen:
SAVA: Scalable Learning-Agnostic Data Valuation. ICLR 2025 - 2024
- [c7]Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose:
Fisher Flow Matching for Generative Modeling over Discrete Data. NeurIPS 2024 - [i10]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 abs/2405.14664 (2024) - [i9]Samuel Kessler, Tam Le, Vu Nguyen:
SAVA: Scalable Learning-Agnostic Data Valuation. CoRR abs/2406.01130 (2024) - 2023
- [j1]Samuel Kessler
, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
On Sequential Bayesian Inference for Continual Learning. Entropy 25(6): 884 (2023) - [c6]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: 184-204 - [i8]Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts:
On Sequential Bayesian Inference for Continual Learning. CoRR abs/2301.01828 (2023) - [i7]Kieran Wood, Samuel Kessler, Stephen J. Roberts, Stefan Zohren:
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. CoRR abs/2310.10500 (2023) - 2022
- [c5]Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts:
Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI 2022: 7143-7151 - [c4]Jérôme Hergueux, Samuel Kessler:
Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CHI 2022: 303:1-303:15 - [c3]Samuel Kessler, Bethan Thomas, Salah Karout:
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning. ICASSP 2022: 3179-3183 - [c2]Bethan Thomas, Samuel Kessler, Salah Karout:
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. ICASSP 2022: 7102-7106 - [i6]Bethan Thomas, Samuel Kessler, Salah Karout:
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. CoRR abs/2202.03218 (2022) - [i5]Jérôme Hergueux, Samuel Kessler:
Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CoRR abs/2203.10871 (2022) - [i4]Samuel Kessler, Piotr Milos, Jack Parker-Holder, Stephen J. Roberts:
The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning. CoRR abs/2211.15944 (2022) - 2021
- [c1]Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts:
Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI 2021: 749-759 - [i3]Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts:
Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR abs/2106.02940 (2021) - [i2]Samuel Kessler, Bethan Thomas, Salah Karout:
Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition. CoRR abs/2107.13530 (2021)
2010 – 2019
- 2019
- [i1]Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts:
Indian Buffet Neural Networks for Continual Learning. CoRR abs/1912.02290 (2019)
Coauthor Index
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