Samuel Kessler

25 papers A* 4A 1Misc 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Budget-Aware Agentic Routing via Boundary-Guided Training. CoRR Caiqi Zhang, Menglin Xia, Xuchao Zhang, Daniel Madrigal, Ankur Mallick, Samuel Kessler, Victor Rühle, Saravan Rajmohan
2026	J	`jnl`	Computer-Using World Model. CoRR Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin A. Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2025	—	`conf`	A maturity model to assess and enhance the AI readiness of an Enterprise Architecture. AMCIS Felix Klingenstein, Samuel Kessler, Moritz Hoeltl, Pascal Daume, Marcus Fischer
2025	J	`jnl`	Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. CoRR Dongge Han, Menglin Xia, Daniel Madrigal Díaz, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian del Carmen Hipolito Garcia, Jin Xu, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Learning GUI Grounding with Spatial Reasoning from Visual Feedback. CoRR Yu Zhao, Wei-Ning Chen, Huseyin A. Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
2025	A*	`conf`	SAVA: Scalable Learning-Agnostic Data Valuation. ICLR Samuel Kessler, Tam Le, Vu Nguyen
2025	J	`jnl`	Towards Active Synthetic Data Generation for Finetuning Language Models. CoRR Samuel Kessler, Menglin Xia, Daniel Madrigal Díaz, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Rühle, Jordan T. Ash
2024	A*	`conf`	Fisher Flow Matching for Generative Modeling over Discrete Data. NeurIPS Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024	J	`jnl`	Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024	J	`jnl`	SAVA: Scalable Learning-Agnostic Data Valuation. CoRR Samuel Kessler, Tam Le, Vu Nguyen
2023	J	`jnl`	Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. CoRR Kieran Wood, Samuel Kessler, Stephen J. Roberts, Stefan Zohren
2023	J	`jnl`	On Sequential Bayesian Inference for Continual Learning. CoRR Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
2023	J	`jnl`	On Sequential Bayesian Inference for Continual Learning. Entropy Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
2023	—	`conf`	The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
2022	Misc	`conf`	An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning. ICASSP Samuel Kessler, Bethan Thomas, Salah Karout
2022	Misc	`conf`	Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. ICASSP Bethan Thomas, Samuel Kessler, Salah Karout
2022	J	`jnl`	Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition. CoRR Bethan Thomas, Samuel Kessler, Salah Karout
2022	A*	`conf`	Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CHI Jérôme Hergueux, Samuel Kessler
2022	J	`jnl`	Follow the Leader: Technical and Inspirational Leadership in Open Source Software. CoRR Jérôme Hergueux, Samuel Kessler
2022	A*	`conf`	Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
2022	J	`jnl`	The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning. CoRR Samuel Kessler, Piotr Milos, Jack Parker-Holder, Stephen J. Roberts
2021	J	`jnl`	Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition. CoRR Samuel Kessler, Bethan Thomas, Salah Karout
2021	A	`conf`	Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts
2021	J	`jnl`	Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	Indian Buffet Neural Networks for Continual Learning. CoRR Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts