Dr. Tohru Nitta




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What's New:
・Dec. 13, 2022: Our paper was published: Fully Augmented Complex-Valued Neural Networks

・Dec. 7, 2022: I gave a talk at the Tokyo Woman's Christian University: ''High-Dimensional Neural Networks''.

・July 14, 2022: Our paper was published: Sequential Learning on sEMGs in Short- and Long-term Situations via Self-Training Semi-Supervised Support Vector Machine

・May 20, 2022: Our preprint was uploaded at the arXiv: Spurious Local Minima of Deep ReLU Neural Networks in the Neural Tangent Kernel Regime

・March., 2022: Mr. Y. Okawa's master's thesis "Semi-Supervised Sequential Learning on Surface Electromyograms-Based Time Series Data" won the Graduate School of Excellence Award.

・Dec., 2021: Our paper was published: Learning Properties of Feedforward Neural Networks Using Dual Numbers

・Dec., 2020: Our paper was published: Fundamental Structure of Orthogonal Variable Commutative Quaternion Neurons

・April 1, 2020: Joined the Graduate School of Artificial Intelligence and Science, Rikkyo University


Specially appointed professor,
Graduate School of Artificial Intelligence and Science,
Rikkyo University
3-34-1 Nishi-Ikebukuro,Toshima-ku, Tokyo Japan 171-8501

Email: ｔｎiｔｔa(at)ｒiｋｋｙo.aｃ.jp

Research Interests:
Theoretical issues in computational models such as artificial neural networks, especially high-dimensional neural networks such as complex-valued neural networks.

Previous Research Themes


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