16.07.2021
Four Accepted Papers (2 Main, and 2 Workshops)
38th International Conference on Machine Learning, Virtual, Jul 18-24, 2021
We are happy to announce that MCML researchers have contributed a total of 4 papers to ICML 2021: 2 Main, and 2 Workshop papers. Congrats to our researchers!
Main Track (2 papers)
Scalable Normalizing Flows for Permutation Invariant Densities.
ICML 2021 - 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL
Variational Data Assimilation with a Learned Inverse Observation Operator.
ICML 2021 - 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. Spotlight Presentation. URL
Workshops (2 papers)
A causal perspective on meaningful and robust algorithmic recourse.
Algorithmic Recourse @ICML 2021 - Workshop on Algorithmic Recourse at the 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots.
AutoML @ICML 2021 - 8th Workshop on Automated Machine Learning at the 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL
Related
15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.
08.01.2026
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.
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.
