Kenya Jinno
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Kenya Jinno is a Professor at Tokyo City University, Japan. His research focuses on machine learning, particularly in the areas of convolutional neural networks, latent variable spaces, and sentence representations. Recent publications include analyses comparing sentence-BERT and GPT-2 models, as well as investigations into the efficiency of feature extraction in neural networks. He is dedicated to advancing the understanding of neural architectures and their applications in natural language processing and image generation.
Recent Grants
Grant: Close
大自由度力学系のアトラクタのダイナミクス解析と群知能創発との関係解明
Open Date: 2020-04-01
Close Date: 2023-03-31
Grant: Close
スパイク発振器ネットワークに基づく群知能回路の開発
Open Date: 2019-04-01
Close Date: 2022-03-31
Grant: Close
Development and implementation of deterministic swarm intelligence optimization
Open Date: 2016-04-01
Close Date: 2019-03-31
Grant: Close
Development of canonical type particle swarm optimization based on dynamical systems theory
Open Date: 2015-04-01
Close Date: 2018-03-31
Grant: Close
Study of Cyber-physical system type QoE traffic control system
Open Date: 2014-04-01
Close Date: 2017-03-31
Articles (13)
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