Willes, John

8 publications

ICLR 2025 Bayesian Optimization via Continual Variational Last Layer Training Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

ICLR 2025 Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul Krishnan

NeurIPSW 2024 Evaluating RAG System Performance: The Impact of Knowledge Cut-Off and Fine-Tuning Omkar Dige, John Willes, D. B. Emerson

NeurIPSW 2024 Teaching LLMs How to Learn with Contextual Fine-Tuning Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul Krishnan

ICLR 2024 Variational Bayesian Last Layers James Harrison, John Willes, Jasper Snoek

NeurIPSW 2024 Variational Last Layers for Bayesian Optimization Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

NeurIPSW 2023 FlexModel: A Framework for Interpretability of Distributed Large Language Models Matthew Choi, Muhammad Adil Asif, John Willes, D. Emerson

NeurIPS 2023 Tartarus: A Benchmarking Platform for Realistic and Practical Inverse Molecular Design AkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes, Luca Thiede, Anshul Kundaje, Alan Aspuru-Guzik