Thomas Möllenhoff
Research Scientist
Approximate Bayesian Inference Team
RIKEN Center for Advanced Intelligence Project
Tokyo, Japan
thomas.moellenhoff (at) riken (dot) jp
CV – Scholar – github – Twitter
About
I’m a tenured research scientist at the RIKEN Center for Advanced Intelligence Project, affiliated with the Approximate Bayesian Inference team and a core member of the Bayes Duality project. Before that, I was a postdoctoral researcher working with Emtiyaz Khan. I completed my PhD in the Computer Vision Group at TU Munich under the guidance of Daniel Cremers.
My current research focuses on the design and analysis of new algorithms to improve deep learning via Bayesian principles, with the aim to develop methods that are robust, adaptable and more interpretable.
News
- July 21-27, 2024. I am at ICML 2024 in Vienna, Austria.
- July 1-7, 2024. Invited talk at the 2024 ISBA World Meeting in Venice, Italy.
- June 12-28, 2024. I am attending the second Bayes-duality workshop in Tokyo, Japan.
- June 5-7, 2024. Poster presentation at the LAMDA-RIKENAIP joint workshop at Nanjing University, China.
- May 21, 2024. Invited talk at a joint symposium of RIKEN AIP and the Italian Institute of Technology.
- May 14, 2024. I am giving a talk at the Weierstraß-Instutit in Berlin and visiting Jia-Jie Zhu’s group.
- May 2, 2024. Our paper Variational Learning is Effective for Large Deep Networks is accepted at ICML 2024.
- Feb 29, 2024. New preprint. We show that large models like GPT-2 can be successfully trained and improved using variational learning
- Jan 17, 2024. Two papers are accepted at ICLR 2024: [Model Merging by Uncertainty-Based Gradient Matching] and [Conformal Prediction via Regression-as-Classification].
- Dec 9, 2023. Heading off to the NeurIPS conference, see you there!
- Dec 8, 2023. Invited talk at the Georgia Tech Applied and Computational Mathematics Seminar.
- Oct 20, 2023. One new preprint [Model Merging by Uncertainty-Based Gradient Matching] available!
- Sep 22, 2023. One paper accepted at NeurIPS 2023. See you in New Orleans in December!
See older news.