Probabilistic Modeling and Inference
Dr. Shinichi Nakajima
Technische Universität Berlin
Marchstraße 23, 10587 Berlin
Probabilistic Modeling, Bayesian Inference, Uncertainty Estimation
Dr. Shinichi Nakajima leads the Independent Research Group Probabilistic Modeling and Inference. His aim is to develop novel probabilistic models and inference methods for multimodal, heterogeneous, and complex structured data analysis. In particular he wants to provide machine learning tools that can incorporate multiple aspects of data samples observed under different circumstances, in efficient and theoretically grounded ways. This includes:
- Developing novel probabilistic models with efficient inference methods
- Exploring novel applications of probabilistic models
- Establishing uncertainty estimation methods for deep probabilistic models
David Lassner, Stephanie Brandl, Anne Baillot, Shinichi Nakajima
Ping Xiong, Thomas Schnake, Gregoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
On October 9 and 10, 2023, BIFOLD welcomed the other Geman AI centers (ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, MCML, and the DFKI) in Berlin. The annual meeting featured guests, partners, visitors, and researchers from all over Germany.
On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.