13.08.2021
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)
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
©Joachim Wendler - stock-adobe.com
02.01.2026
MCML Researchers in Highly-Ranked Journals
We are excited to announce that MCML researchers have three papers published in highly-ranked journals in %!s(
18.12.2025
"See, Don’t Assume": Revealing and Reducing Gender Bias in AI
ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.
16.12.2025
Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine
MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.
16.12.2025
Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics
Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.