04.08.2023
MCML at KDD 2023
One Accepted Paper
29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, Aug 06-10, 2023
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2023. Congrats to our researchers!
Main Track (1 paper)
A. Beer • A. Draganov • E. Hohma • P. Jahn • C. M. M. Frey • I. Assent
Connecting the Dots — Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
KDD 2023 - 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Long Beach, CA, USA, Aug 06-10, 2023. DOI GitHub
Connecting the Dots — Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
KDD 2023 - 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Long Beach, CA, USA, Aug 06-10, 2023. DOI GitHub
Related
15.10.2026
When Flatter Is Not Always Better
In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.
13.10.2026
Björn Schuller: What Your Voice Reveals About Your Health
MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.