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Nicolas Boullé
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4
Randomized Nyström approximation of non-negative self-adjoint operators
8 December 2024 by
David Persson
and
others
at
University of Cambridge
Numerical Analysis
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
30 November 2024 by
Christina Runkel
and
others
Fluid Dynamics
,
Machine Learning
Operator learning without the adjoint
20 November 2024 by
Nicolas Boullé
and
others
Numerical Analysis
,
Artificial Intelligence
Lines of Thought in Large Language Models
28 October 2024 by
Raphaël Sarfati
and
others
Machine Learning
,
Data Analysis, Statistics and Probability
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
9 October 2024 by
Toni J. B. Liu
and
others
Machine Learning
,
Computation and Language
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
9 October 2024 by
Toni J. B. Liu
and
others
at
University of Cambridge
Machine Learning
,
Artificial Intelligence
On the Convergence of Hermitian Dynamic Mode Decomposition
7 October 2024 by
Nicolas Boullé
and
Matthew Colbrook
Numerical Analysis
,
Machine Learning
Large Language Models as Markov Chains
3 October 2024 by
Oussama Zekri
and
others
at
Université Paris-Saclay
Machine Learning
,
Artificial Intelligence
Structure-Preserving Operator Learning
1 October 2024 by
Nacime Bouziani
and
Nicolas Boullé
at
Imperial College London
Machine Learning
,
Computational Engineering, Finance, and Science
Multivariate rational approximation of functions with curves of singularities
27 July 2024 by
Nicolas Boullé
and
others
Numerical Analysis
Bifurcation analysis of a two-dimensional magnetic Rayleigh-Bénard problem
18 June 2024 by
Fabian Laakmann
and
Nicolas Boullé
Fluid Dynamics
,
Numerical Analysis
Multiplicative Dynamic Mode Decomposition
8 May 2024 by
Nicolas Boullé
and
Matthew Colbrook
Dynamical Systems
,
Machine Learning
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