Teshima, Takeshi

1. Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
   2020/06/12 by Masahiro Kato, Takeshi Teshima, Kato, Masahiro +1 · 11 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Image Processing Techniques #Image and Signal Denoising Methods
2. Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
   2020/06/20 by Teshima, Takeshi, Ishikawa, Isao, Tojo, Koichi +3 · 2 citations
   #Classical Analysis and ODEs (math.CA) #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
3. Universal Approximation Property of Neural Ordinary Differential Equations
   2020/12/04 by Teshima, Takeshi, Tojo, Koichi, Ikeda, Masahiro +2 · 2 citations
   #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Few-shot Domain Adaptation by Causal Mechanism Transfer
   2020/02/10 by Takeshi Teshima, Issei Sato, Teshima, Takeshi +3 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Universal approximation property of invertible neural networks
   2022/04/15 by Isao Ishikawa, Ishikawa, Isao, Takeshi Teshima +9 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)