Johannes Maly

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All published works
Action Title Year Authors
+ PDF Chat Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering 2024 Sjoerd Dirksen
Johannes Maly
+ PDF Chat Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems 2023 Tianyu Yang
Johannes Maly
Sjoerd Dirksen
Giuseppe Caire
+ PDF Chat Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank 2023 Hung-Hsu Chou
Carsten Gieshoff
Johannes Maly
Holger Rauhut
+ PDF Chat Robust sensing of low-rank matrices with non-orthogonal sparse decomposition 2023 Johannes Maly
+ PDF Chat A simple approach for quantizing neural networks 2023 Johannes Maly
Rayan Saab
+ PDF Chat More is less: inducing sparsity via overparameterization 2023 Hung-Hsu Chou
Johannes Maly
Holger Rauhut
+ Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems 2023 Tianyu Yang
Johannes Maly
Sjoerd Dirksen
Giuseppe Caire
+ Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares 2023 Christian Kümmerle
Johannes Maly
+ Tuning-free one-bit covariance estimation using data-driven dithering 2023 Sjoerd Dirksen
Johannes Maly
+ How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow 2023 Hung-Hsu Chou
Johannes Maly
Dominik Stöger
+ PDF Chat Covariance estimation under one-bit quantization 2022 Sjoerd Dirksen
Johannes Maly
Holger Rauhut
+ Quantitative Approximation Results for Complex-Valued Neural Networks 2022 Andrei Caragea
Dae Gwan Lee
Johannes Maly
Götz E. Pfander
Felix Voigtlaender
+ PDF Chat Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank 2022 Hung-Hsu Chou
Carsten Gieshoff
Johannes Maly
Holger Rauhut
+ PDF Chat New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization 2022 Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
+ A simple approach for quantizing neural networks 2022 Johannes Maly
Rayan Saab
+ Non-negative Least Squares via Overparametrization 2022 Hung-Hsu Chou
Johannes Maly
Claudio Mayrink Verdun
+ PDF Chat Structural Sparsity in Multiple Measurements 2021 Florian Bomann
Sara Krause-Solberg
Johannes Maly
Nada Sissouno
+ PDF Chat Covariance Estimation under One‐bit Quantization 2021 Sjoerd Dirksen
Johannes Maly
Holger Rauhut
+ PDF Chat New challenges in covariance estimation: multiple structures and coarse quantization 2021 Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
+ PDF Chat On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds 2021 Mark Iwen
Felix Krahmer
Sara Krause-Solberg
Johannes Maly
+ PDF Chat Quantized Compressed Sensing by Rectified Linear Units 2021 Hans Christian Jung
Johannes Maly
Lars Palzer
Alexander Stollenwerk
+ Structural Sparsity in Multiple Measurements. 2021 Florian Boßmann
Sara Krause-Solberg
Johannes Maly
Nada Sissouno
+ Computational approaches to non-convex, sparsity-inducing multi-penalty regularization 2021 Željko Kereta
Johannes Maly
Valeriya Naumova
+ PDF Chat Quantized Compressed Sensing by Rectified Linear Units 2021 Hans Christian Jung
Johannes Maly
Lars Palzer
Alexander Stollenwerk
+ More is Less: Inducing Sparsity via Overparameterization 2021 Hung-Hsu Chou
Johannes Maly
Holger Rauhut
+ Covariance estimation under one-bit quantization 2021 Sjoerd Dirksen
Johannes Maly
Holger Rauhut
+ Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition 2021 Johannes Maly
+ New challenges in covariance estimation: multiple structures and coarse quantization 2021 Johannes Maly
Tianyu Yang
Sjoerd Dirksen
Holger Rauhut
Giuseppe Caire
+ PDF Chat Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements 2020 Massimo Fornasier
Johannes Maly
Valeriya Naumova
+ Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank 2020 Hung-Hsu Chou
Carsten Gieshoff
Johannes Maly
Holger Rauhut
+ Quantized Compressed Sensing by Rectified Linear Units. 2019 Hans Christian Jung
Johannes Maly
Lars Palzer
Alexander Stollenwerk
+ Linear convergence and support recovery for non-convex multi-penalty regularization 2019 Željko Kereta
Johannes Maly
Valeriya Naumova
+ Computational approaches to non-convex, sparsity-inducing multi-penalty regularization. 2019 Željko Kereta
Johannes Maly
Valeriya Naumova
+ PDF Chat Analysis of hard-thresholding for distributed compressed sensing with one-bit measurements 2019 Johannes Maly
Lars Palzer
+ Quantized Compressed Sensing by Rectified Linear Units 2019 Hans Christian Jung
Johannes Maly
Lars Palzer
Alexander Stollenwerk
+ Computational approaches to non-convex, sparsity-inducing multi-penalty regularization 2019 Željko Kereta
Johannes Maly
Valeriya Naumova
+ Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements 2018 Johannes Maly
Lars Palzer
+ Robust Recovery of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition from Incomplete Measurements 2018 Massimo Fornasier
Johannes Maly
Valeriya Naumova
+ On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds 2018 Mark Iwen
Felix Krahmer
Sara Krause-Solberg
Johannes Maly
+ Robust Recovery of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition from Incomplete Measurements 2018 Massimo Fornasier
Johannes Maly
Valeriya Naumova
+ Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements 2018 Johannes Maly
Lars Palzer
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat One‐Bit Compressed Sensing by Linear Programming 2013 Yaniv Plan
Roman Vershynin
11
+ PDF Chat Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach 2012 Yaniv Plan
Roman Vershynin
8
+ PDF Chat One-Bit Compressive Sensing With Norm Estimation 2016 Karin Knudson
Rayan Saab
Rachel Ward
7
+ PDF Chat Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
7
+ Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals 2017 Richard G. Baraniuk
Simon Foucart
Deanna Needell
Yaniv Plan
Mary Wootters
7
+ PDF Chat Low-Complexity Massive MIMO Subspace Estimation and Tracking From Low-Dimensional Projections 2018 Saeid Haghighatshoar
Giuseppe Caire
6
+ PDF Chat Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors 2013 Laurent Jacques
Jason N. Laska
Petros T. Boufounos
Richard G. Baraniuk
6
+ PDF Chat Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? 2006 Emmanuel J. Candès
Terence Tao
5
+ PDF Chat Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality 2010 Hédy Attouch
Jérôme Bolte
Patrick Redont
Antoine Soubeyran
5
+ PDF Chat Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization 2016 Markus Grasmair
Valeriya Naumova
5
+ PDF Chat Robust one-bit compressed sensing with partial circulant matrices 2023 Sjoerd Dirksen
Shahar Mendelson
5
+ PDF Chat Dimension Reduction by Random Hyperplane Tessellations 2013 Yaniv Plan
Roman Vershynin
5
+ PDF Chat Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization 2010 Benjamin Recht
Maryam Fazel
Pablo A. Parrilo
5
+ Global error bounds for piecewise convex polynomials 2011 Guoyin Li
5
+ One-bit compressed sensing with non-Gaussian measurements 2013 Albert Ai
Alex Lapanowski
Yaniv Plan
Roman Vershynin
5
+ Compressed sensing 2006 David L. Donoho
5
+ PDF Chat Minimization of multi-penalty functionals by alternating iterative thresholding and optimal parameter choices 2014 Valeriya Naumova
Steffen Peter
5
+ PDF Chat The masked sample covariance estimator: an analysis using matrix concentration inequalities 2012 R. Y. Chen
Alex Gittens
Joel A. Tropp
4
+ Adaptive multi-penalty regularization based on a generalized Lasso path 2018 Markus Grasmair
Timo Klock
Valeriya Naumova
4
+ PDF Chat Quantization and Compressive Sensing 2015 Petros T. Boufounos
Laurent Jacques
Felix Krahmer
Rayan Saab
4
+ PDF Chat Error Decay of (almost) Consistent Signal Estimations from Quantized Gaussian Random Projections 2016 Laurent Jacques
4
+ Sparsity-enforcing regularisation and ISTA revisited 2016 Ingrid Daubechies
Michel Defrise
Christine De Mol
4
+ PDF Chat High-Dimensional Probability 2018 Roman Vershynin
4
+ PDF Chat Distributed Compressive CSIT Estimation and Feedback for FDD Multi-User Massive MIMO Systems 2014 Xiongbin Rao
Vincent K. N. Lau
4
+ PDF Chat Optimal rates of convergence for covariance matrix estimation 2010 Tommaso Cai
Cun-Hui Zhang
Harrison H. Zhou
3
+ PDF Chat Robust covariance estimation under $L_{4}-L_{2}$ norm equivalence 2020 Shahar Mendelson
Nikita Zhivotovskiy
3
+ PDF Chat Introduction to the non-asymptotic analysis of random matrices 2012 Roman Vershynin
3
+ PDF Chat Optimal rates of convergence for estimating Toeplitz covariance matrices 2012 Tommaso Cai
Zhao Ren
Harrison H. Zhou
3
+ PDF Chat Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs 2016 Junil Choi
Jianhua Mo
Robert W. Heath
3
+ PDF Chat Blind Deconvolution Using Convex Programming 2014 Ali Ahmed
Benjamin Recht
Justin Romberg
3
+ PDF Chat User-Friendly Covariance Estimation for Heavy-Tailed Distributions 2019 Yuan Ke
Stanislav Minsker
Zhao Ren
Qiang Sun
Wen‐Xin Zhou
3
+ Covariance regularization by thresholding 2008 Peter J. Bickel
Elizaveta Levina
3
+ <formula formulatype="inline"> <tex Notation="TeX">$L_{1/2}$</tex></formula> Regularization: A Thresholding Representation Theory and a Fast Solver 2012 Zongben Xu
Xiangyu Chang
Fengmin Xu
Hai Zhang
3
+ Iterative hard thresholding for compressed sensing 2009 Thomas Blumensath
Mike E. Davies
3
+ Blind Recovery of Sparse Signals From Subsampled Convolution 2016 Kiryung Lee
Yanjun Li
Marius Junge
Yoram Bresler
3
+ Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing 2018 Sjoerd Dirksen
Shahar Mendelson
3
+ PDF Chat Suprema of Chaos Processes and the Restricted Isometry Property 2014 Felix Krahmer
Shahar Mendelson
Holger Rauhut
3
+ PDF Chat The Generalized Lasso With Non-Linear Observations 2016 Yaniv Plan
Roman Vershynin
3
+ PDF Chat Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements 2016 Sohail Bahmani
Justin Romberg
3
+ PDF Chat Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices 2015 Samet Oymak
Amin Jalali
Maryam Fazel
Yonina C. Eldar
Babak Hassibi
3
+ High-Dimensional Probability: An Introduction with Applications in Data Science 2018 Roman Vershynin
3
+ PDF Chat Partial estimation of covariance matrices 2011 Elizaveta Levina
Roman Vershynin
3
+ PDF Chat Blind Demixing and Deconvolution at Near-Optimal Rate 2017 Peter Jung
Felix Krahmer
Dominik Stöger
3
+ PDF Chat Low-rank matrix completion using alternating minimization 2013 Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
3
+ Flavors of Compressive Sensing 2017 Simon Foucart
3
+ Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization 2017 Kiryung Lee
Yihong Wu
Yoram Bresler
3
+ Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing 2013 Laurent Jacques
Kévin Degraux
Christophe De Vleeschouwer
3
+ Concentration inequalities and moment bounds for sample covariance operators 2016 Vladimir Koltchinskii
Karim Lounici
3
+ PDF Chat Stable signal recovery from incomplete and inaccurate measurements 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
3
+ PDF Chat Robust Recovery of Signals From a Structured Union of Subspaces 2009 Yonina C. Eldar
Moshe Mishali
3