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researcher

N. Boullé

24 papers hereh-index 9451 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author13
  • middle author6
  • last author3

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • math.NA14
  • cs.LG4
  • physics.flu-dyn2
  • cs.CL1
  • cs.NE1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedData-driven discovery of Green's functions with human-understandable deep learning

56 citations · 160 across the 20 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

quant-ph2025

Subsystems (in)dependence in GIE proposals

Nicolas Boulle, Guilherme Franzmann

Recent proposals suggest that detecting entanglement between two spatially superposed masses would establish the quantum nature of gravity. However, these gravitationally induced e…

cs.LG2025

Text-Trained LLMs Can Zero-Shot Extrapolate PDE Dynamics, Revealing a Three-Stage In-Context Learning Mechanism

Jiajun Bao, Nicolas Boullé, Toni J. B. Liu +2

Large language models (LLMs) have demonstrated emergent in-context learning (ICL) capabilities across a range of tasks, including zero-shot time-series forecasting. We show that te…

math.NA2025

Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces

Nicolas Boullé, Matthew J. Colbrook, Gustav Conradie

Data-driven spectral analysis of Koopman operators is a powerful tool for understanding numerous real-world dynamical systems, from neuronal activity to variations in sea surface t…

cs.LG2025

Multi-Level Monte Carlo Training of Neural Operators

James Rowbottom, Stefania Fresca, Pietro Lio +2

Operator learning is a rapidly growing field that aims to approximate nonlinear operators related to partial differential equations (PDEs) using neural operators. These rely on dis…

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