Takeishi, Naoya

1. Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
   2017/10/12 by Naoya Takeishi, Yoshinobu Kawahara, Takeishi, Naoya +3 · 31 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
2. Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
   2021/02/25 by Naoya Takeishi, Alexandros Kalousis, Takeishi, Naoya +1 · 10 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Explainable Artificial Intelligence (XAI)
3. Recent Developments in Aerial Robotics: A Survey and Prototypes Overview
   2017/11/28 by Chun Fui Liew, Danielle DeLatte, Liew, Chun Fui +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization #UAV Applications and Optimization
4. Estimating counterfactual treatment outcomes over time in complex multiagent scenarios
   2022/06/04 by Fujii, Keisuke, Takeuchi, Koh, Kuribayashi, Atsushi +3 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Multiagent Systems (cs.MA)
5. Mimicking Better by Matching the Approximate Action Distribution
   2023/06/16 by Ramos, João A. Cândido, Blondé, Lionel, Takeishi, Naoya +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
   2022/10/24 by Naoya Takeishi, Alexandros Kalousis, Takeishi, Naoya +1 · 2 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
7. Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection
   2019/09/08 by Takeishi, Naoya · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Knowledge-Based Distant Regularization in Learning Probabilistic Models
   2018/06/29 by Naoya Takeishi, Kosuke Akimoto, Takeishi, Naoya +1 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
   2023/05/22 by Keisuke Fujii, Fujii, Keisuke, Kazushi Tsutsui +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
10. Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
    2023/10/20 by Falkiewicz, Maciej, Takeishi, Naoya, Shekhzadeh, Imahn +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)