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Research Group Johannes Maly


Link to website at LMU

Johannes Maly

Prof. Dr.

Collaborating PI

Johannes Maly

is Junior Professor at the Working Group Mathematical Data Science and Artificial Intelligence at LMU Munich.

Recent News @MCML

Link to The Learning Rate Does More Than Set the Pace

21.07.2026

The Learning Rate Does More Than Set the Pace

MCML Research Insight – With Maria Matveev, Vit Fojtik, Gitta Kutyniok, and Johannes Maly

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Link to MCML at ICML 2026

03.07.2026

MCML at ICML 2026

86 Accepted Papers (71 Main, and 15 Workshops)

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Link to MCML at ICCAD 2025

24.10.2025

MCML at ICCAD 2025

One Accepted Paper

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Link to MCML at AISTATS 2025

02.05.2025

MCML at AISTATS 2025

Six Accepted Papers (5 Main, and 1 Workshop)

Publications @MCML

2026


[13] A* Conference
M. MatveevV. Fojtik • H.-H. Chou • G. KutyniokJ. Maly
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[12]
J. Maly • K. Neuner • S. Vadia
Computing the SVD efficiently with photonic chips.
Preprint (Feb. 2026). arXiv


2025


[10] A Conference
S. Ullah • S. S. Sahoo • C. Li • C. Li • L. Liu • T. S. Pereira • B. Wen • X. Yin • A. Darjani • N. Kavand • C. Bodla • R. Y. Panduga • A. Holemadlu • J. Maly • J. Förste • S. Vadia • X. S. Hu • A. Kumar
Invited Paper: Circuit and Architecture Design with Emerging Computing Paradigms.
ICCAD 2025 - 44th IEEE/ACM International Conference on Computer-Aided Design. Munich, Germany, Oct 26-30, 2025. DOI

[9] Top Journal
S. Dirksen • W. Li • J. Maly
Subspace and DOA Estimation Under Coarse Quantization.
IEEE Transactions on Information Theory 71.10. Oct. 2025. DOI

[8]
S. Dirksen • W. Li • J. Maly
Subspace estimation under coarse quantization.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. DOI

[7] A Conference
H.-H. Chou • J. Maly • C. M. Verdun • B. Freitas Paulo da Costa • H. Mirandola
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL

2024


[6] Top Journal
T. Yang • J. Maly • S. Dirksen • G. Caire
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1. Jan. 2024. DOI

[5]
S. Dirksen • J. Maly
Tuning-free one-bit covariance estimation using data-driven dithering.
Preprint (Jan. 2024). arXiv

2023


[4] A* Conference
C. Kümmerle • J. Maly
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. DOI

[3] Top Journal
J. Maly
Robust sensing of low-rank matrices with non-orthogonal sparse decomposition.
Applied and Computational Harmonic Analysis 67. Nov. 2023. 2024 ACHA Charles Chui Young Researcher Best Paper Award. DOI

[2]
H.-H. Chou • J. Maly • D. Stöger
How to induce regularization in linear models: A guide to reparametrizing gradient flow.
Preprint (Aug. 2023). arXiv

[1]
J. Maly • R. Saab
A simple approach for quantizing neural networks.
Preprint (Apr. 2023). arXiv

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