معرفی
KANAGAWA Motonobu is an Assistant Professor in the Data Science department at EURECOM. His research focuses on kernel methods, Gaussian processes, and their applications in machine learning, numerical computation, and enhancing computer simulations.
Research Interests:
- Kernel methods and Gaussian processes in machine learning
- Machine learning for computer simulation enhancement
- Applications to real-world simulation-based problems
Publications highlight contributions to Bayesian quadrature, kernel-based integration, and intractable likelihood estimation. He serves on program committees for top conferences (NeurIPS, ICML, AISTATS) and reviews for journals like JMLR and TPAMI.
No awards listed. Advising/grants sections are not detailed here. Active in computational statistics and simulation-driven machine learning.
۰مقاله ثبتشده
