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
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16.09.2026
Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.
