13.08.2021
MCML at KDD 2021
One Accepted Paper
27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Singapore, Aug 14-18, 2021
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2021. Congrats to our researchers!
Main Track (1 paper)
C. Leiber • L. G. M. Bauer • B. Schelling • C. Böhm • C. Plant
Dip-based Deep Embedded Clustering with k-Estimation.
KDD 2021 - 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Singapore, Aug 14-18, 2021. DOI
Dip-based Deep Embedded Clustering with k-Estimation.
KDD 2021 - 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Singapore, Aug 14-18, 2021. DOI
Related
11.05.2026
Cordelia Schmid Featured in Süddeutsche Zeitung
Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.
08.05.2026
Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?
Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.
07.05.2026
MCML Delegation Visit to the UK
MCML delegation visited top U.S. universities to advance AI X-Change and foster collaboration in generative and medical AI.
