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PhD Shinichi Nakajima

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstraße 23, 10587 Berlin
https://www.tu.berlin/en/ml

Shinichi Nakajima Bifold research group lead
© Nakajima

PhD Shinichi Nakajima

Research Group Lead

Dr. Shinichi Nakajima is a member of Machine Learning Group in Technische Universität Berlin. He received the master degree on physics in 1995 from Kobe university, and worked with Nikon Corporation until September 2014 on statistical analysis, image processing, and machine learning. He received the doctoral degree on computer science in 2006 from Tokyo Institute of Technology. His research interest is in theory and applications of machine learning, in particular, Bayesian inference, generative modeling, uncertainty estimation, explainable artificial intelligence, and their applications for computer vision, natural language processing, science and quantum computing. At the BIFOLD he leads the research group "Probabilistic Modeling and Inference".

 

 

Kim Andrea Nicoli, Christopher Anders, Lena Funcke, Karl Jansen, Shinichi Nakajima

NeuLat: a toolbox for neural samplers in lattice field theories

December 27, 2023
https://inspirehep.net/literature/2752003

Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima

Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories

December 08, 2023
https://doi.org/10.1103/PhysRevD.108.114501

Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M.-C. Höhne

Labeling Neural Representations with Inverse Recognition

November 22, 2023
https://doi.org/10.48550/arXiv.2311.13594

Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne

Visualizing the Diversity of Representations Learned by Bayesian Neural Networks

November 10, 2023
https://openreview.net/pdf?id=ZSxvyWrX6k

Kim Andrea Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kuhn, Klaus-Robert Muller, Paolo Stornati, Pan Kessel, Shinichi Nakajima

Physics-Informed Bayesian Optimization of Variational Quantum Circuits

September 21, 2023
https://neurips.cc/virtual/2023/poster/69993