| Seminar: | CPS Seminar |
| date: | 2025 January 17 (Fri) 14:00- |
| Room: | CPS Conference Room and Online (Hybrid meeting) |
| Speaker: | Kana Moriwaki (Assistant professor, RESCEU, the University of Tokyo) |
| Title: | "Analysis of large-scale structure data with deep learning" |
| Abstract: | The large-scale matter distributions tell us the evolution of the Universe as well as its components and initial state. Deep learning can be useful in analyzing observational data of large-scale structures. We have been developing new deep-learning methods for (i) removing noises in observed data and (ii) inferring the governing parameters from observed data. In this talk, I will introduce these methods and also discuss how to tackle the problem of large data requirements in deep learning. |
| Keywords: | deep learning, large-scale structure of the universe |
| Organizer: | MAKINO Junichiro |