24.05.2023
MCML at PAKDD 2023
Two Accepted Papers
27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Osaka, Japan, May 25-28, 2023
We are happy to announce that MCML researchers have contributed a total of 2 papers to PAKDD 2023. Congrats to our researchers!
Main Track (2 papers)
T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI
D. Winkel • N. Strauß • M. Schubert • Y. Ma • T. Seidl
Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI
Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI
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Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers received an Honorable Mention at the conference in Siegen.
05.10.2026
Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers and MCML PI Riccardo Marin received an Honorable Mention.
