Johannes Maly

According to our database, Johannes Maly authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tuning-Free One-Bit Covariance Estimation Using Data-Driven Dithering.

Sjoerd Dirksen, Johannes Maly

IEEE Trans. Inf. Theory, July, 2024

Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.

Tianyu Yang, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire

IEEE Trans. Commun., January, 2024

2023

How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow.

Hung-Hsu Chou, Johannes Maly, Dominik Stöger

CoRR, 2023

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.

Christian Kümmerle, Johannes Maly

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

2022

Structural Sparsity in Multiple Measurements.

Florian Boßmann, Sara Krause-Solberg, Johannes Maly, Nada Sissouno

IEEE Trans. Signal Process., 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

A simple approach for quantizing neural networks.

Johannes Maly, Rayan Saab

CoRR, 2022

Non-negative Least Squares via Overparametrization.

Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun

CoRR, 2022

2021

Quantized Compressed Sensing by Rectified Linear Units.

Hans Christian Jung, Johannes Maly, Lars Palzer, Alexander Stollenwerk

IEEE Trans. Inf. Theory, 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

More is Less: Inducing Sparsity via Overparameterization.

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

CoRR, 2021

Covariance estimation under one-bit quantization.

Sjoerd Dirksen, Johannes Maly, Holger Rauhut

CoRR, 2021

Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition.

Johannes Maly

CoRR, 2021

Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements.

Massimo Fornasier, Johannes Maly, Valeriya Naumova

Appl. Math. Comput., 2021

2020

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

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

CoRR, 2020

2019

Linear convergence and support recovery for non-convex multi-penalty regularization.

Zeljko Kereta, Johannes Maly, Valeriya Naumova

CoRR, 2019

2018

Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements.

Johannes Maly, Lars Palzer

CoRR, 2018