People in Linear Algebra

94 researchers

Most varied Soonest event

Yu Hu
Hong Kong University of Science and Technology · as of May 2024 · +1 institution
Mathematical Biology, Mathematics · 1 talk · 3 posters
Latest poster · Mar 27, 2025
Covariance spectrum in nonlinear recurrent neural networks and transition to chaos
N Alex Cayco Gajic
École Normale Supérieure
Computational Neuroscience, Mathematics · 2 talks · 1 conference · 1 workshop · 7 posters
Latest talk · Jan 29, 2025
Dimensionality reduction beyond neural subspaces
Srdjan Ostojic
École normale supérieure
Dynamical Systems, Computational Neuroscience · 3 talks · 3 conferences · 7 posters
Latest talk · Jan 22, 2025
Structured Excitatory-Inhibitory Networks: a low-rank approach
Daniel Szyld
Temple University
Matrix Algebra, Probability Theory · 2 talks
Latest talk · May 5, 2026
Provable Convergence rate for Asynchronous methods via Randomized Gauss-Seidel
Chaitanya Chintaluri
Institute of Science and Technology Austria · as of Mar 2022 · +1 institution
Mathematical Modeling, Computational Neuroscience · 1 talk · 8 posters
Latest poster · Sep 29, 2024
The space of high-dimensional Dalean, amplifying networks and the trade-off between stability and amplification
Ivan Bulygin
IST, Austria · as of Mar 2023
Mathematical Modeling, Computational Neuroscience · 8 posters
Latest poster · Sep 29, 2024
The space of high-dimensional Dalean, amplifying networks and the trade-off between stability and amplification
Nicoleta Condruz
Mathematical Modeling, Matrix Algebra · 5 posters
Latest poster · Sep 29, 2024
The space of high-dimensional Dalean, amplifying networks and the trade-off between stability and amplification
Tim Vogels
Institute of Science and Technology Austria · as of Jun 2024
Mathematical Modeling, Computational Neuroscience · 5 talks · 1 conference · 31 posters · 2 podcast episodes
Latest poster · Sep 29, 2024
The space of high-dimensional Dalean, amplifying networks and the trade-off between stability and amplification
David Persson
New York University
Matrix Algebra, Numerical Analysis · 1 talk
Latest talk · Oct 28, 2026
The polar express: Optimal matrix sign methods and their application to the muon algorithm
Charles Bouveyron
Inria Centre at Université Côte d’Azur; Université Côte d’Azur
Probability Theory, Numerical Analysis · 1 talk
Latest talk · Oct 26, 2026
Scaling Optimal Transport to High-Dimensional Gaussian Distributions with Application to Domain Adaptation
William Verreault
University of Toronto
Matrix Algebra, Algebra · 1 talk
Latest talk · Oct 19, 2026
A matrix-theoretic approach to involutions of multicomplex numbers
Marty Weissman
University of California, Santa Cruz
Calculus, Mathematics Education · 1 talk
Latest talk · Oct 6, 2026
High tech and no tech: intention and pedagogy in a modeling-based calculus course
Daniel Bartl
National University of Singapore
Matrix Algebra, Probability Theory · 1 workshop
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Maximilian Herde
ETH Zürich
Matrix Algebra, Probability Theory · 1 workshop
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Stanislav Budzinskiy
University of Vienna
Numerical Analysis, Computational Mathematics · 2 workshops
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Fan Chung
UC San Diego
Differential Geometry, Geometry · 1 talk
Latest talk · Sep 24, 2026
Curvatures of graphs
Katarzyna Swirydowicz
Advanced Micro Devices (AMD)
Programming, Matrix Algebra · 1 talk
Latest talk · May 8, 2026
Asynchronous Methods on AMD GPU-Based Systems
Yousef Saad
University of Minnesota
Matrix Algebra, Numerical Analysis · 1 talk
Latest talk · May 7, 2026
Relaxed gradient-type descent methods
Matthias Bolten
Bergische Universität Wuppertal
Distributed Computing, Matrix Algebra · 1 talk
Latest talk · May 6, 2026
Multigrid methods on high performance computers
Vasileios Kalantzis
IBM Research
Cloud Computing, Distributed Computing · 1 talk
Latest talk · May 5, 2026
Straggler-Tolerant Iterative Methods for Linear Systems and Eigenvector Computations with Partial Matrix-Vector Products

Researchers