21.07.2023
MCML at ICML 2023
Nine Accepted Papers (8 Main, and 1 Workshop)
40th International Conference on Machine Learning, Honolulu, Hawaii, Jul 23-29, 2023
We are happy to announce that MCML researchers have contributed a total of 9 papers to ICML 2023: 8 Main, and 1 Workshop papers. Congrats to our researchers!
Main Track (8 papers)
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Normalizing Flows for Interventional Density Estimation.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Statistical Foundations of Prior-Data Fitted Networks.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
A New PHO-rmula for Improved Performance of Semi-Structured Networks.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Topologically faithful image segmentation via induced matching of persistence barcodes.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL GitHub
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Uncertainty Estimation for Molecules: Desiderata and Methods.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Workshops (1 paper)
Sumformer: Universal Approximation for Efficient Transformers.
TAG-ML @ICML 2023 - 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning at the 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Related
24.02.2026
Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks
Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.
19.02.2026
COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious
Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.
05.02.2026
Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant
Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.
