26.04.2023

MCML at ICLR 2023

11th International Conference on Learning Representations (ICLR 2023). Kigali, Rwanda, May 01-05, 2023

We are happy to announce that MCML researchers are represented with 5 papers at ICLR 2023:

D. Frauen and S. Feuerriegel.
Estimating individual treatment effects under unobserved confounding using binary instruments.
URL.

T. Klug and R. Heckel.
Scaling Laws For Deep Learning Based Image Reconstruction.
URL.

R. Paolino, A. Bojchevski, S. Günnemann, G. Kutyniok and R. Levie.
Unveiling the Sampling Density in Non-Uniform Geometric Graphs.
URL.

T. Pielok, B. Bischl and D. Rügamer.
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent.
URL.

J. Schuchardt, T. Wollschläger, A. Bojchevski and S. Günnemann.
Localized Randomized Smoothing for Collective Robustness Certification.
URL.

26.04.2023

Link to MCML PI Alexander Fraser receives EU funding for research on LLMs

©LMU/TUM

16.10.2024

MCML PI Alexander Fraser receives EU funding for research on LLMs

Our PI Alexander Fraser is leading a new EU-funded research initiative focused on advancing large language models (LLMs) and their societal impacts.

10.09.2024

MCML at ECML-PKDD 2024

We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.

14.08.2024

MCML at ACL 2024

We are happy to announce that MCML researchers are represented at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

20.07.2024

MCML at ICML 2024

We are happy to announce that MCML researchers are represented at the 41st International Conference on Machine Learning (ICML 2024).

15.07.2024

MCML at UAI 2024

We are happy to announce that MCML researchers are represented at the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024).

MCML at ICLR 2023

11th International Conference on Learning Representations (ICLR 2023). Kigali, Rwanda, May 01-05, 2023

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