Boulle, Nicolas

8 publications

ICLR 2025 Density Estimation with LLMs: A Geometric Investigation of In-Context Learning Trajectories Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls

NeurIPS 2025 Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri, Nicolas Boulle

ICLR 2025 Lines of Thought in Large Language Models Raphaël Sarfati, Toni J.B. Liu, Nicolas Boulle, Christopher Earls

ICMLW 2024 LLMs Learn Governing Principles of Dynamical Systems, Revealing an In-Context Neural Scaling Law Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls

JMLR 2024 Operator Learning Without the Adjoint Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend

ICLR 2022 A Generalization of the Randomized Singular Value Decomposition Nicolas Boulle, Alex Townsend

JMLR 2022 Learning Green's Functions Associated with Time-Dependent Partial Differential Equations Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend

NeurIPS 2020 Rational Neural Networks Nicolas Boulle, Yuji Nakatsukasa, Alex Townsend