06.12.2021
MCML at ICDM 2021
Four Accepted Papers (1 Main, and 3 Workshops)
21st IEEE International Conference on Data Mining, Auckland, New Zealand, Dec 07-10, 2021
We are happy to announce that MCML researchers have contributed a total of 4 papers to ICDM 2021: 1 Main, and 3 Workshop papers. Congrats to our researchers!
Main Track (1 paper)
Density-based Clustering for Adaptive Density Variation.
ICDM 2021 - 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI
Workshops (3 papers)
Implicit Hough Transform Neural Networks for Subspace Clustering.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI
LUCKe- Connecting Clustering and Correlation Clustering.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI
OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI
Related
24.02.2026
Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks
Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.
19.02.2026
COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious
Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.
05.02.2026
Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant
Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.
