12.08.2022
MCML at KDD 2022
One Accepted Paper
28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14-18, 2022
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2022. Congrats to our researchers!
Main Track (1 paper)
C. Leiber • L. G. M. Bauer • M. Neumayr • C. Plant • C. Böhm
The DipEncoder: Enforcing Multimodality in Autoencoders.
KDD 2022 - 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, Aug 14-18, 2022. DOI
The DipEncoder: Enforcing Multimodality in Autoencoders.
KDD 2022 - 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, Aug 14-18, 2022. DOI
Related
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.
26.10.2026
Best Paper Award at AIES 2026 for Work on Algorithmic Contestability
MCML Junior Member Timo Freiesleben received the Best Paper Award at AIES 2026 for his work on algorithmic contestability.
