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教員紹介
ROEHM ANDRE(れーむ あんどれ)
東京大学大学院 情報理工学系研究科
システム情報学専攻
特任准教授
〒113-8656 東京都文京区本郷7-3-1 工学部14号館 610号室
Tel: 03-5841-6883
E-mail:roehm @ g.ecc.u-tokyo.ac.jp
略歴
2012.10-2014.7 | Master of Science in Physics at TU Berlin, Germany |
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2014.10-2018.11 | Dr. rer. nat.(PhD) at TU Berlin, Germany |
2018-2019 | Postdoctoral Researcher, Institute for Theoretical Physics at TU Berlin, Germany |
2019-2021.5 | Postdoctoral Researcher, Institute for Cross-Disciplinary Physics and Complex Systems (UIB-CSIC), Palma de Mallorca, Spain |
2021.6-2021.10 | Project Researcher, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo |
2021.11-2022.12 | JSPS Postdoctoral Fellowships for Research in Japan |
2023.1- | Project Associate Professor, Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo |
研究テーマ
・Information theory, computational power of complex dynamical systems
・Nonlinear laser dynamics, coupled lasers
・Symmetry-breaking and restoring bifurcations
・Complex amplitude and phase relationships
主な論文・著書
- Röhm, D. J. Gauthier, and I. Fischer: Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing, Chaos, 31(10), 2021.
- F. Stelzer, A. Röhm, R. Vicente, I. Fischer, and S. Yanchuk: Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops, Nature Communications, 12(5164), 2021.
- Vettelschoss, A. Röhm, and M. Soriano: Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation, IEEE Transactions on Neural Networks, 33(6), 2021.
- F. Stelzer, A. Röhm, K. Lüdge, and S. Yanchuk: Performance boost of time-delay reservoir computing by non-resonant clock cycle, Neural Network, 124, 2020.
- Röhm and K. Lüdge: Reservoir Computing Using Laser Networks, IEEE Journal of Selected Topics in Quantum Electronics, 26(1), 2019.