Nicolas Boulle
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🏆
Keyword Champion
(2)
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(4)
Core Methods
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Mathematics
(2)
Models
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
in-context learning
(2)
large language model
(2)
partial differential equation
(2)
green's function
(2)
theoretical analysis
(1)
gaussian process
(1)
matrix approximation
(1)
stochastic process
(1)
kernel density estimation
(1)
probability density
(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)
Papers
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
ICLR 2025
Lines of Thought in Large Language Models
ICLR 2025
What’s in a prompt? Language models encode literary style in prompt embeddings
EMNLP 2025
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
EMNLP 2024
Operator learning without the adjoint
JMLR 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
NeurIPS 2020