MCML at PAKDD 2025

Two Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 2 papers to PAKDD 2025. Congrats to our researchers!

M. Aljoud • G. M. Tavares • C. Leiber • T. Seidl
DCMatch - Identify Matching Architectures in Deep Clustering through Meta-Learning.
PAKDD 2025 - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Sydney, Australia, Jun 10-13, 2025. DOI GitHub

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings.
PAKDD 2025 - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Sydney, Australia, Jun 10-13, 2025. DOI GitHub

24.03.2026

Cybersecurity: “Even Smart Light Bulbs Harbor Risks”

Interview with computer science expert Johannes Kinder on digital security in everyday life.

24.03.2026

MCML Members Win Most Cited Article Award at ECR 2026

MCML researchers win top citation award for ChatGPT radiology study, highlighting benefits and risks in patient communication.

23.03.2026

MCML at EACL 2026

MCML researchers are represented with 13 papers at EACL 2026 (9 Main, and 4 Findings).

20.03.2026

MCML Reaches h-Index of 100

MCML reaches an h-index of 100, marking a milestone achieved through years of collaboration with LMU Munich, TUM, and research partners worldwide.

19.03.2026

Teaching Models to Say ‘I’m Not Sure’

Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.