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
Publications
14 items
Into the danger zone: stable extrapolation in high-dimensional function and operator learning
2026
Cited
0
Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation
2026
Cited
0
The devil in the (de)tails: an improved recovery guarantee for sparse approximation
2026
Cited
0
Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
2026
Cited
0
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
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Co-authors
13 total
Ben Adcock
Professor, Simon Fraser University
Nick Dexter
Assistant Professor, Department of Scientific Computing at Florida State University
Fabio Nobile
MATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Tim Hoheisel
Department of Mathematics and Statistics, McGill University
Holger Rauhut
Professor for Mathematics, LMU Munich
Sjoerd Dirksen
Professor for Mathematics of Data Science, Mathematical Institute, Utrecht University
Yaniv Plan
University of British Columbia
Ozgur Yilmaz
Professor, Mathematics, University of British Columbia