Holger Rauhut - RankMe

89 papers A* 3Misc 5Journal 75Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings. CoRR Laura Paul, Holger Rauhut, Martin Burger, Samira Kabri, Tim Roith
2026	J	`jnl`	Convergence of gradient flow for learning convolutional neural networks. CoRR Jona-Maria Diederen, Holger Rauhut, Ulrich Terstiege
2026	J	`jnl`	PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error. CoRR Vinh Hoang, Sebastian Krumscheid, Holger Rauhut, Raúl Tempone
2025	J	`jnl`	The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks. CoRR El Mehdi Achour, Kathlén Kohn, Holger Rauhut
2024	J	`jnl`	High-Dimensional Confidence Regions in Sparse MRI. CoRR Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2024	—	`conf`	Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. ECCV (78) Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut
2024	A*	`conf`	Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. NeurIPS Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024	J	`jnl`	Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024	J	`jnl`	With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
2023	A*	`conf`	Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models. NeurIPS Leonardo Galli, Holger Rauhut, Mark Schmidt
2023	J	`jnl`	Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models. CoRR Leonardo Galli, Holger Rauhut, Mark Schmidt
2023	Misc	`conf`	High-Dimensional Confidence Regions in Sparse MRI. ICASSP Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2023	J	`jnl`	Robust Implicit Regularization via Weight Normalization. CoRR Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward
2023	—	`conf`	Uncertainty Quantification For Learned ISTA. MLSP Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2023	J	`jnl`	Uncertainty quantification for learned ISTA. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
2022	Misc	`conf`	ADMM-DAD Net: A Deep Unfolding Network for Analysis Compressed Sensing. ICASSP Vasiliki Kouni, Georgios Paraskevopoulos, Holger Rauhut, George C. Alexandropoulos
2022	J	`jnl`	Overparameterization and Generalization Error: Weighted Trigonometric Interpolation. SIAM J. Math. Data Sci. Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward
2022	J	`jnl`	Uncertainty quantification for sparse Fourier recovery. CoRR Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2021	J	`jnl`	ADMM-DAD net: a deep unfolding network for analysis compressed sensing. CoRR Vasiliki Kouni, Georgios Paraskevopoulos, Holger Rauhut, George C. Alexandropoulos
2021	J	`jnl`	Convergence of gradient descent for learning linear neural networks. CoRR Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege
2021	J	`jnl`	Covariance estimation under one-bit quantization. CoRR Sjoerd Dirksen, Johannes Maly, Holger Rauhut
2021	J	`jnl`	Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks. CoRR Ekkehard Schnoor, Arash Behboodi, Holger Rauhut
2021	J	`jnl`	More is Less: Inducing Sparsity via Overparameterization. CoRR Hung-Hsu Chou, Johannes Maly, Holger Rauhut
2021	J	`jnl`	Path classification by stochastic linear recurrent neural networks. CoRR Wiebke Bartolomaeus, Youness Boutaib, Sandra Nestler, Holger Rauhut
2021	—	`conf`	Spark Deficient Gabor Frame Provides A Novel Analysis Operator For Compressed Sensing. ICONIP (6) Vasiliki Kouni, Holger Rauhut
2021	J	`jnl`	Spark Deficient Gabor Frame Provides a Novel Analysis Operator for Compressed Sensing. CoRR Vasiliki Kouni, Holger Rauhut
2021	J	`jnl`	Spark Deficient Gabor Frames for Inverse Problems. CoRR Vasiliki Kouni, Holger Rauhut
2021	J	`jnl`	Star DGT: a Robust Gabor Transform for Speech Denoising. CoRR Vasiliki Kouni, Holger Rauhut
2021	J	`jnl`	Tensor theta norms and low rank recovery. Numer. Algorithms Holger Rauhut, Zeljka Stojanac
2020	J	`jnl`	Generalization bounds for deep thresholding networks. CoRR Arash Behboodi, Holger Rauhut, Ekkehard Schnoor
2020	J	`jnl`	Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut
2020	J	`jnl`	Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs. CoRR Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
2020	A*	`conf`	Unfolding recurrence by Green's functions for optimized reservoir computing. NeurIPS Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias
2020	J	`jnl`	Weighted Optimization: better generalization by smoother interpolation. CoRR Yuege Xie, Rachel A. Ward, Holger Rauhut, Hung-Hsu Chou
2019	J	`jnl`	Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers. CoRR Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
2019	J	`jnl`	On the geometry of polytopes generated by heavy-tailed random vectors. CoRR Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut
2018	J	`jnl`	On the Gap Between Restricted Isometry Properties and Sparse Recovery Conditions. IEEE Trans. Inf. Theory Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
2017	J	`jnl`	Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations. Math. Comput. Holger Rauhut, Christoph Schwab
2017	J	`jnl`	Masked Toeplitz covariance estimation. CoRR Maryia Kabanava, Holger Rauhut
2017	J	`jnl`	One-bit compressed sensing with partial Gaussian circulant matrices. CoRR Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
2016	J	`jnl`	Conjugate gradient acceleration of iteratively re-weighted least squares methods. Comput. Optim. Appl. Massimo Fornasier, Steffen Peter, Holger Rauhut, Stephan Worm
2016	J	`jnl`	Improved bounds for sparse recovery from subsampled random convolutions. CoRR Shahar Mendelson, Holger Rauhut, Rachel A. Ward
2016	J	`jnl`	Low rank tensor recovery via iterative hard thresholding. CoRR Holger Rauhut, Reinhold Schneider, Zeljka Stojanac
2016	J	`jnl`	Low-rank matrix recovery via rank one tight frame measurements. CoRR Holger Rauhut, Ulrich Terstiege
2015	—	`ch.`	Compressive Sensing. Handbook of Mathematical Methods in Imaging Massimo Fornasier, Holger Rauhut
2015	J	`jnl`	On the gap between RIP-properties and sparse recovery conditions. CoRR Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
2015	J	`jnl`	Refined analysis of sparse MIMO radar. CoRR Dominik Dorsch, Holger Rauhut
2015	J	`jnl`	Stable low-rank matrix recovery via null space properties. CoRR Maryia Kabanava, Richard Kueng, Holger Rauhut, Ulrich Terstiege
2015	J	`jnl`	Tensor theta norms and low rank recovery. CoRR Holger Rauhut, Zeljka Stojanac
2014	J	`jnl`	Fast and RIP-Optimal Transforms. Discret. Comput. Geom. Nir Ailon, Holger Rauhut
2014	J	`jnl`	Foreword to the special section on compressive sensing applied to radar. IEEE Trans. Aerosp. Electron. Syst. Matthias Weiss, Joachim H. G. Ender, Holger Rauhut, Gilda Schirinzi, Thomas Strohmer, Peter Willett
2014	J	`jnl`	Low rank matrix recovery from rank one measurements. CoRR Richard Kueng, Holger Rauhut, Ulrich Terstiege
2014	J	`jnl`	Remote Sensing via ℓ 1-Minimization. Found. Comput. Math. Max Hügel, Holger Rauhut, Thomas Strohmer
2014	J	`jnl`	Robust analysis ℓ CoRR Maryia Kabanava, Holger Rauhut, Hui Zhang
2014	J	`jnl`	Structured random measurements in signal processing. CoRR Felix Krahmer, Holger Rauhut
2014	J	`jnl`	Tensor completion in hierarchical tensor representations. CoRR Holger Rauhut, Reinhold Schneider, Zeljka Stojanac
2014	J	`jnl`	Uniform recovery of fusion frame structured sparse signals. CoRR Ulas Ayaz, Sjoerd Dirksen, Holger Rauhut
2013	—	`book`	A Mathematical Introduction to Compressive Sensing. Simon Foucart, Holger Rauhut
2013	J	`jnl`	Analysis ℓ CoRR Holger Rauhut, Maryia Kabanava
2013	J	`jnl`	Fast and RIP-optimal transforms CoRR Nir Ailon, Holger Rauhut
2012	J	`jnl`	Remote sensing via ℓ CoRR Max Hügel, Holger Rauhut, Thomas Strohmer
2012	J	`jnl`	Sparse Legendre expansions via l J. Approx. Theory Holger Rauhut, Rachel A. Ward
2012	J	`jnl`	Suprema of Chaos Processes and the Restricted Isometry Property CoRR Felix Krahmer, Shahar Mendelson, Holger Rauhut
2011	J	`jnl`	Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization. SIAM J. Optim. Massimo Fornasier, Holger Rauhut, Rachel A. Ward
2011	J	`jnl`	Sparse Recovery From Combined Fusion Frame Measurements. IEEE Trans. Inf. Theory Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2011	J	`jnl`	The restricted isometry property for time-frequency structured random matrices CoRR Götz E. Pfander, Holger Rauhut, Joel A. Tropp
2010	J	`jnl`	Average case analysis of multichannel sparse recovery using convex relaxation. IEEE Trans. Inf. Theory Yonina C. Eldar, Holger Rauhut
2010	Misc	`conf`	Average case analysis of sparse recovery from combined fusion frame measurements. CISS Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2010	J	`jnl`	Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing. IEEE J. Sel. Top. Signal Process. Georg Tauböck, Franz Hlawatsch, Daniel Eiwen, Holger Rauhut
2010	Misc	`conf`	Efficient and stable recovery of Legendre-sparse polynomials. CISS Holger Rauhut, Rachel A. Ward
2010	Misc	`conf`	Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity. ICASSP Daniel Eiwen, Georg Tauböck, Franz Hlawatsch, Holger Rauhut, Nicolai Czink
2010	J	`jnl`	Nonuniform Sparse Recovery with Gaussian Matrices CoRR Ulas Ayaz, Holger Rauhut
2010	J	`jnl`	Restricted Isometries for Partial Random Circulant Matrices CoRR Holger Rauhut, Justin K. Romberg, Joel A. Tropp
2010	J	`jnl`	The Gelfand widths of J. Complex. Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich
2010	J	`jnl`	The Gelfand widths of ℓ CoRR Simon Foucart, Alain Pajor, Holger Rauhut, Tino Ullrich
2009	J	`jnl`	Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation CoRR Yonina C. Eldar, Holger Rauhut
2009	J	`jnl`	Circulant and Toeplitz matrices in compressed sensing CoRR Holger Rauhut
2009	J	`jnl`	Compressive estimation of doubly selective channels: exploiting channel sparsity to improve spectral efficiency in multicarrier transmissions CoRR Georg Tauboeck, Franz Hlawatsch, Holger Rauhut
2009	J	`jnl`	Sparse Recovery from Combined Fusion Frame Measurements CoRR Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2008	J	`jnl`	Compressed Sensing and Redundant Dictionaries. IEEE Trans. Inf. Theory Holger Rauhut, Karin Schnass, Pierre Vandergheynst
2008	J	`jnl`	Identification of Matrices Having a Sparse Representation. IEEE Trans. Signal Process. Götz E. Pfander, Holger Rauhut, Jared Tanner
2008	J	`jnl`	Random Sampling of Sparse Trigonometric Polynomials, II. Orthogonal Matching Pursuit versus Basis Pursuit. Found. Comput. Math. Stefan Kunis, Holger Rauhut
2008	J	`jnl`	Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints. SIAM J. Numer. Anal. Massimo Fornasier, Holger Rauhut
2008	J	`jnl`	Stability Results for Random Sampling of Sparse Trigonometric Polynomials. IEEE Trans. Inf. Theory Holger Rauhut
2007	—	`conf`	Average Case Analysis of Multichannel Thresholding. ICASSP (2) Rémi Gribonval, Boris Mailhé, Holger Rauhut, Karin Schnass, Pierre Vandergheynst
2007	J	`jnl`	Compressed Sensing and Redundant Dictionaries CoRR Holger Rauhut, Karin Schnass, Pierre Vandergheynst
2007	J	`jnl`	Sparsity in time-frequency representations CoRR Götz E. Pfander, Holger Rauhut
2005	J	`jnl`	Best time localized trigonometric polynomials and wavelets. Adv. Comput. Math. Holger Rauhut
2005	J	`jnl`	Wavelet Transforms Associated to Group Representations and Functions Invariant under Symmetry Groups. Int. J. Wavelets Multiresolution Inf. Process. Holger Rauhut