Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements. - Johannes Maly; Lars Palzer (CoRR, 2018)

Linear convergence and support recovery for non-convex multi-penalty regularization. - Zeljko Kereta; Johannes Maly; Valeriya Naumova (CoRR, 2019)

Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. - Hung-Hsu Chou; Carsten Gieshoff; Johannes Maly; Holger Rauhut (CoRR, 2020)

Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements. - Massimo Fornasier; Johannes Maly; Valeriya Naumova (Appl. Math. Comput., 2021)

Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition. - Johannes Maly (CoRR, 2021)

Covariance estimation under one-bit quantization. - Sjoerd Dirksen; Johannes Maly; Holger Rauhut (CoRR, 2021)

More is Less: Inducing Sparsity via Overparameterization. - Hung-Hsu Chou; Johannes Maly; Holger Rauhut (CoRR, 2021)

On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. - Mark A. Iwen; Felix Krahmer; Sara Krause-Solberg; Johannes Maly (Discret. Comput. Geom., 2021)

Quantized Compressed Sensing by Rectified Linear Units. - Hans Christian Jung; Johannes Maly; Lars Palzer; Alexander Stollenwerk (IEEE Trans. Inf. Theory, 2021)

Non-negative Least Squares via Overparametrization. - Hung-Hsu Chou; Johannes Maly; Claudio Mayrink Verdun (CoRR, 2022)

A simple approach for quantizing neural networks. - Johannes Maly; Rayan Saab (CoRR, 2022)

Quantitative Approximation Results for Complex-Valued Neural Networks. - Andrei Caragea; Dae Gwan Lee; Johannes Maly; Götz E. Pfander; Felix Voigtländer (SIAM J. Math. Data Sci., 2022)

Structural Sparsity in Multiple Measurements. - Florian Boßmann; Sara Krause-Solberg; Johannes Maly; Nada Sissouno (IEEE Trans. Signal Process., 2022)

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. - Christian Kümmerle; Johannes Maly (NeurIPS, 2023)

How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. - Hung-Hsu Chou; Johannes Maly; Dominik Stöger (CoRR, 2023)

Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems. - Tianyu Yang 002; Johannes Maly; Sjoerd Dirksen; Giuseppe Caire (IEEE Trans. Commun., 2024)

Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering. - Sjoerd Dirksen; Johannes Maly (IEEE Trans. Inf. Theory, 2024)

Get rid of your constraints and reparametrize: A study in NNLS and implicit bias. - Hung-Hsu Chou; Johannes Maly; Claudio Mayrink Verdun; Bernardo Freitas Paulo da Costa; Heudson Mirandola (AISTATS, 2025)

Subspace and DOA estimation under coarse quantization. - Sjoerd Dirksen; Weilin Li; Johannes Maly (CoRR, 2025)

Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization. - Vít Fojtík; Maria Matveev; Hung-Hsu Chou; Gitta Kutyniok; Johannes Maly (CoRR, 2025)