Home  | News

17.09.2024

Tiny logo
Teaser image to 2024 ACHA Charles Chui Young Researcher Best Paper Award for Johannes Maly

2024 ACHA Charles Chui Young Researcher Best Paper Award for Johannes Maly

Dedicated to Young Researchers in the Field of Harmonic Analysis

Our Associate Johannes Maly was awarded the 2024 ACHA Charles Chui Young Researcher Best Paper Award. This annual award recognizes outstanding contributions by young researchers in the field of harmonic analysis, as selected by the editors and publisher of the Journal of Applied and Computational Harmonic Analysis (ACHA).

Johannes received this honor for his paper “Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition,” published in November 2023 (Vol. 67, ACHA).

Congrats from us!

Check out the full paper:

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
#award #research #maly
Subscribe to RSS News feed

Related

Link to MCML at AAAI 2026

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 11 papers at AAAI 2026 (8 Main, and 3 Workshops).

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Link to MCML PIs Featured in Süddeutsche Zeitung

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.

Back to Top