Holger Rauhut

Hannah Laus

CoRR, 2024

With or Without Replacement? Improving Confidence in Fourier Imaging.

[BibT_eX]

[DOI]

Marion I. Menzel

CoRR, 2024

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Robust Implicit Regularization via Weight Normalization.

[BibT_eX]

[DOI]

Hung-Hsu Chou

CoRR, 2023

Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models.

[BibT_eX]

[DOI]

Leonardo Galli

Mark Schmidt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncertainty Quantification For Learned ISTA.

[BibT_eX]

[DOI]

Hannah Laus

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

High-Dimensional Confidence Regions in Sparse MRI.

[BibT_eX]

[DOI]

Marion I. Menzel

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Overparameterization and Generalization Error: Weighted Trigonometric Interpolation.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., June, 2022

Uncertainty quantification for sparse Fourier recovery.

[BibT_eX]

[DOI]

Marion I. Menzel

CoRR, 2022

ADMM-DAD Net: A Deep Unfolding Network for Analysis Compressed Sensing.

[BibT_eX]

[DOI]

Georgios Paraskevopoulos

George C. Alexandropoulos

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Tensor theta norms and low rank recovery.

[BibT_eX]

[DOI]

Zeljka Stojanac

Numer. Algorithms, 2021

More is Less: Inducing Sparsity via Overparameterization.

[BibT_eX]

[DOI]

Hung-Hsu Chou

Johannes Maly

CoRR, 2021

Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks.

[BibT_eX]

[DOI]

Ekkehard Schnoor

Arash Behboodi

CoRR, 2021

Spark Deficient Gabor Frames for Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2021

Path classification by stochastic linear recurrent neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Convergence of gradient descent for learning linear neural networks.

[BibT_eX]

[DOI]

Gabin Maxime Nguegnang

CoRR, 2021

Star DGT: a Robust Gabor Transform for Speech Denoising.

[BibT_eX]

[DOI]

CoRR, 2021

Covariance estimation under one-bit quantization.

[BibT_eX]

[DOI]

Johannes Maly

CoRR, 2021

Spark Deficient Gabor Frame Provides A Novel Analysis Operator For Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank.

[BibT_eX]

[DOI]

CoRR, 2020

Generalization bounds for deep thresholding networks.

[BibT_eX]

[DOI]

Arash Behboodi

Ekkehard Schnoor

CoRR, 2020

Weighted Optimization: better generalization by smoother interpolation.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs.

[BibT_eX]

[DOI]

CoRR, 2020

Unfolding recurrence by Green's functions for optimized reservoir computing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers.

[BibT_eX]

[DOI]

Bubacarr Bah

Michael Westdickenberg

CoRR, 2019

On the geometry of polytopes generated by heavy-tailed random vectors.

[BibT_eX]

[DOI]

CoRR, 2019

2018

On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions.

[BibT_eX]

[DOI]

Guillaume Lecué

IEEE Trans. Inf. Theory, 2018

2017

Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations.

[BibT_eX]

[DOI]

Christoph Schwab

Math. Comput., 2017

One-bit compressed sensing with partial Gaussian circulant matrices.

[BibT_eX]

[DOI]

Hans Christian Jung

CoRR, 2017

Masked Toeplitz covariance estimation.

[BibT_eX]

[DOI]

Maryia Kabanava

CoRR, 2017

2016

Low-rank matrix recovery via rank one tight frame measurements.

[BibT_eX]

[DOI]

CoRR, 2016

Low rank tensor recovery via iterative hard thresholding.

[BibT_eX]

[DOI]

Reinhold Schneider

Zeljka Stojanac

CoRR, 2016

Improved bounds for sparse recovery from subsampled random convolutions.

[BibT_eX]

[DOI]

Shahar Mendelson

CoRR, 2016

Conjugate gradient acceleration of iteratively re-weighted least squares methods.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2016

2015

Compressive Sensing.

[BibT_eX]

[DOI]

Massimo Fornasier

Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Stable low-rank matrix recovery via null space properties.

[BibT_eX]

[DOI]

CoRR, 2015

Refined analysis of sparse MIMO radar.

[BibT_eX]

[DOI]

Dominik Dorsch

CoRR, 2015

On the gap between RIP-properties and sparse recovery conditions.

[BibT_eX]

[DOI]

Guillaume Lecué

CoRR, 2015

2014

Foreword to the special section on compressive sensing applied to radar.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2014

Remote Sensing via ℓ 1-Minimization.

[BibT_eX]

[DOI]

Max Hügel

Thomas Strohmer

Found. Comput. Math., 2014

Fast and RIP-Optimal Transforms.

[BibT_eX]

[DOI]

Nir Ailon

Discret. Comput. Geom., 2014

Tensor completion in hierarchical tensor representations.

[BibT_eX]

[DOI]

Reinhold Schneider

Zeljka Stojanac

CoRR, 2014

Low rank matrix recovery from rank one measurements.

[BibT_eX]

[DOI]

Richard Kueng

CoRR, 2014

Structured random measurements in signal processing.

[BibT_eX]

[DOI]

CoRR, 2014

Robust analysis ℓ1-recovery from Gaussian measurements and total variation minimization.

[BibT_eX]

[DOI]

Maryia Kabanava

Hui Zhang

CoRR, 2014

Uniform recovery of fusion frame structured sparse signals.

[BibT_eX]

[DOI]

Ulas Ayaz

CoRR, 2014

2013

Analysis ℓ1-recovery with frames and Gaussian measurements.

[BibT_eX]

[DOI]

Maryia Kabanava

CoRR, 2013

A Mathematical Introduction to Compressive Sensing.

[BibT_eX]

[DOI]

Simon Foucart

Applied and Numerical Harmonic Analysis, Birkhäuser, ISBN: 978-0-8176-4947-0, 2013

2012

Sparse Legendre expansions via l1-minimization.

[BibT_eX]

[DOI]

J. Approx. Theory, 2012

Suprema of Chaos Processes and the Restricted Isometry Property

[BibT_eX]

[DOI]

Shahar Mendelson

CoRR, 2012

Remote sensing via ℓ1 minimization

[BibT_eX]

[DOI]

Max Hügel

Thomas Strohmer

CoRR, 2012

2011

Sparse Recovery From Combined Fusion Frame Measurements.

[BibT_eX]

[DOI]

Petros Boufounos

Gitta Kutyniok

IEEE Trans. Inf. Theory, 2011

Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization.

[BibT_eX]

[DOI]

Massimo Fornasier

SIAM J. Optim., 2011

The restricted isometry property for time-frequency structured random matrices

[BibT_eX]

[DOI]

Götz E. Pfander

Joel A. Tropp

CoRR, 2011

2010

Average case analysis of multichannel sparse recovery using convex relaxation.

[BibT_eX]

[DOI]

Yonina C. Eldar

IEEE Trans. Inf. Theory, 2010

Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2010

The Gelfand widths of lp-balls for 0p<=1.

[BibT_eX]

[DOI]

J. Complex., 2010

Restricted Isometries for Partial Random Circulant Matrices

[BibT_eX]

[DOI]

Justin K. Romberg

Joel A. Tropp

CoRR, 2010

Nonuniform Sparse Recovery with Gaussian Matrices

[BibT_eX]

[DOI]

Ulas Ayaz

CoRR, 2010

The Gelfand widths of ℓp-balls for 0<p≤1

[BibT_eX]

[DOI]

CoRR, 2010

Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Efficient and stable recovery of Legendre-sparse polynomials.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Average case analysis of sparse recovery from combined fusion frame measurements.

[BibT_eX]

[DOI]

Petros Boufounos

Gitta Kutyniok

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Compressive estimation of doubly selective channels: exploiting channel sparsity to improve spectral efficiency in multicarrier transmissions

[BibT_eX]

[DOI]

Georg Tauboeck

Franz Hlawatsch

CoRR, 2009

Circulant and Toeplitz matrices in compressed sensing

[BibT_eX]

[DOI]

CoRR, 2009

2008

Identification of Matrices Having a Sparse Representation.

[BibT_eX]

[DOI]

Götz E. Pfander

Jared Tanner

IEEE Trans. Signal Process., 2008

Compressed Sensing and Redundant Dictionaries.

[BibT_eX]

[DOI]

Karin Schnass

Pierre Vandergheynst

IEEE Trans. Inf. Theory, 2008

Stability Results for Random Sampling of Sparse Trigonometric Polynomials.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints.

[BibT_eX]

[DOI]

Massimo Fornasier

SIAM J. Numer. Anal., 2008

Random Sampling of Sparse Trigonometric Polynomials, II. Orthogonal Matching Pursuit versus Basis Pursuit.

[BibT_eX]

[DOI]

Stefan Kunis

Found. Comput. Math., 2008

2007

Sparsity in time-frequency representations

[BibT_eX]

[DOI]

Götz E. Pfander

CoRR, 2007

Average Case Analysis of Multichannel Thresholding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2005

Wavelet Transforms Associated to Group Representations and Functions Invariant under Symmetry Groups.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2005

Best time localized trigonometric polynomials and wavelets.

[BibT_eX]

[DOI]