Yoshinobu Kawahara
- DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
2011/01/13 by Shohei Shimizu, Shimizu, Shohei, Takanori Inazumi +13 · 20 citations
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
2017/10/12 by Naoya Takeishi, Takeishi, Naoya, Yoshinobu Kawahara +3 · 22 citations
Engineering · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Structured Convex Optimization under Submodular Constraints
2013/09/26 by Kiyohito Nagano, Yoshinobu Kawahara, Nagano, Kiyohito +1 · 3 citations
Computer Science · Engineering · #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
- Discovering causal structures in binary exclusive-or skew acyclic models
2012/02/14 by Takanori Inazumi, Inazumi, Takanori, Takashi Washio +9 · 1 citation
Chemistry · Computer Science · #Bayesian Modeling and Causal Inference #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy and Chemometric Analyses
- Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
2018/05/31 by Isao Ishikawa, Keisuke Fujii, Ishikawa, Isao +7 · 1 citation
Mathematics · Agricultural and Biological Sciences · #Morphological variations and asymmetry #Advanced Scientific Research Methods
- A Quadratic Actor Network for Model-Free Reinforcement Learning
2021/03/11 by Matthias Weißenbacher, Yoshinobu Kawahara, Weissenbacher, Matthias +1 · 1 citation
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces
2022/08/16 by Tomoharu Iwata, Iwata, Tomoharu, Yoshinobu Kawahara +1 · 1 citation
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Advanced Adaptive Filtering Techniques #Control Systems and Identification
- Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
2023/05/22 by Keisuke Fujii, Kazushi Tsutsui, Fujii, Keisuke +9 · 2 citations
Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sports Analytics and Performance #Time Series Analysis and Forecasting