Scholar
Simone Brugiapaglia
Google Scholar ID: UlJzclQAAAAJ
Associate Professor, Concordia University, Department of Mathematics and Statistics
Numerical Analysis
Mathematics of Data Science
Machine Learning
Computational Mathematics
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All-time
Citations
557
H-index
13
i10-index
18
Publications
20
Co-authors
19
list available
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Publications
10 items
A short tour of operator learning theory: Convergence rates, statistical limits, and open questions
2026
Cited
0
Approximating Matrix Functions with Deep Neural Networks and Transformers
2026
Cited
0
Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, $MAM^*$!
2025
Cited
0
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms
2025
Cited
0
Reconstruction of frequency-localized functions from pointwise samples via least squares and deep learning
2025
Cited
0
Surrogate models for diffusion on graphs via sparse polynomials
2025
Cited
0
Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics
arXiv.org · 2024
Cited
2
Real-Time Motion Detection Using Dynamic Mode Decomposition
arXiv.org · 2024
Cited
0
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Co-authors
19 total
Ben Adcock
Professor, Simon Fraser University
Co-author 2
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Fabio Nobile
MATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Tim Hoheisel
Department of Mathematics and Statistics, McGill University
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