Nicolas Boulle
8 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
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Conferences
ICLR (3)
EMNLP (2)
JMLR (2)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
partial differential equation
(2)
green's function
(2)
authorship attribution
(1)
theoretical analysis
(1)
numerical linear algebra
(1)
dynamical system
(1)
language model
(1)
operator learning
(1)
latent space
(1)
activation function
(1)
neural operator
(1)
scientific machine learning
(1)
fourier basis
(1)
physical law
(1)
smooth function
(1)
physical modeling
(1)
neural network
(1)
literary style
(1)
prompt embedding
(1)
Papers
Lines of Thought in Large Language Models
ICLR 2025
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
ICLR 2025
Whatβs in a prompt? Language models encode literary style in prompt embeddings
EMNLP 2025
Operator learning without the adjoint
JMLR 2024
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
EMNLP 2024
A generalization of the randomized singular value decomposition
ICLR 2022
Learning Green's functions associated with time-dependent partial differential equations
JMLR 2022
Rational neural networks
NIPS 2020