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)
V. Bengs • E. Hüllermeier • W. Waegeman
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
M. Biloš • K. Rasul • A. Schneider • Y. Nevmyvaka • S. Günnemann
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
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
V. Melnychuk • D. Frauen • S. Feuerriegel
Normalizing Flows for Interventional Density Estimation.
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
T. Nagler
Statistical Foundations of Prior-Data Fitted Networks.
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
D. Rügamer
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
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
N. Stucki • J. C. Paetzold • S. Shit • B. Menze • U. Bauer
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
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
C. Tomani • F. K. Waseda • Y. Shen • D. Cremers
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL
T. Wollschläger • N. Gao • B. Charpentier • M. A. Ketata • S. Günnemann
Uncertainty Estimation for Molecules: Desiderata and Methods.
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)
S. Alberti • N. Dern • L. Thesing • G. Kutyniok
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
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
10.06.2026
How Should Researchers Report Their Use of LLMs?
Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.
02.06.2026
Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness
MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.
02.06.2026
MCML at CVPR 2026
MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).
