01.08.2025
Two Accepted Papers (1 Main, and 1 Workshop)
31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Toronto, ON, Canada, Aug 03-07, 2025
We are happy to announce that MCML researchers have contributed a total of 2 papers to KDD 2025: 1 Main, and 1 Workshop papers. Congrats to our researchers!
Main Track (1 paper)
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI
Workshops (1 paper)
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.
TGL @KDD 2025 - Temporal Graph Learning Workshopat the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. URL
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Blind Matching – Aligning Images and Text Without Training or Labels
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High-Res Images, Less Wait: A Simple Flow for Image Generation
ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.
©Joachim Wendler - stock-adobe.com
02.01.2026
MCML Researchers in Highly-Ranked Journals
We are excited to announce that MCML researchers have four papers published in highly-ranked journals in 2026.
