Holger Rauhut

Full Professor, Department of Mathematics, Ludwig-Maximilians-Universität München

Joined

June 2020

Names

Holger Rauhut

Emails

****@mathc.rwth-aachen.de (Confirmed)

****@math.lmu.de (Confirmed)

Personal Links

Career & Education History

Full Professor

Department of Mathematics, Ludwig-Maximilians-Universität München (lmu.de)

2023 – Present

Full Professor

Rheinisch Westfälische Technische Hochschule Aachen (rwth-aachen.de)

2013 – 2023

Full Professor

Rheinische Friedrich-Wilhelms Universität Bonn (uni-bonn.de)

2008 – 2013

Postdoc

Universität Vienna (univie.ac.at)

2005 – 2008

Advisors, Relations & Conflicts

PhD Advisor

Rupert Lasser

2002 – 2004

Expertise

mathematics of deep learning

compressive sensing

random matrices

high-dimensional probability

Present

mathematics of deep learning

compressive sensing

random matrices

Present

Publications

The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks
El Mehdi Achour, Kathlén Kohn, Holger Rauhut
- AISTATS 2026 Poster
- Readers: Everyone
Spark Deficient Gabor Frame Provides A Novel Analysis Operator For Compressed Sensing
Vicky Kouni, Holger Rauhut
- Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science
- Readers: Everyone
Star DGT: a Robust Gabor Transform for Speech Denoising
Vicky Kouni, Holger Rauhut, Theoharis Theoharis
- Sampling Theory, Signal Processing, and Data Analysis
- Readers: Everyone
ADMM-DAD NET: a deep unfolding network for analysis compressed sensing
Vicky Kouni, Georgios Paraskevopoulos, Holger Rauhut, George C. Alexandropoulos
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
- Readers: Everyone
Nonmonotone Line Searches Operate at the Edge of Stability
Curtis Fox, Leonardo Galli, Mark Schmidt, Holger Rauhut
- NeurIPS 2024 Workshop
- Readers: Everyone
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
- NeurIPS 2024 spotlight
- Readers: Everyone
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
Leonardo Galli, Holger Rauhut, Mark Schmidt
- NeurIPS 2023 poster
- Readers: Everyone
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias
- 20 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Analysis of Stochastic Gradient Descent for Learning Linear Neural Networks
Gabin Maxime Nguegnang, Bubacarr Bah, Holger Rauhut, Ulrich Terstiege
- Published: 21 May 2023, Last Modified: 14 Jul 2023
- SampTA 2023 Abstract
- Readers: Everyone
Sampling strategies for compressive imaging under statistical noise
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Menzel, Holger Rauhut
- Published: 21 May 2023, Last Modified: 07 Sept 2023
- SampTA 2023 Paper
- Readers: Everyone

View all 66 publications

Co-Authors

View all 69 co-authors