- Date
- December, 23 (Mon) - 24 (Tue), 2024
- Venue
- Gofuku campus, University of Toyama 3190 Gofuku, Toyama City, Toyama Prefecture, Japan
- Participants
- Scientists and students from Univ. Toyama and RIKEN
- Language
- English and Japanese
- Participation fee
- Free
Day 1: December 23
- 9:30-9:40
- Opening remark
- Takemasa Miyoshi (RIKEN)
- 9:45-10:15
- Kalman force inference for epithelial deformation: a force inference method for time-lapse movies
- Goshi Ogita (RIKEN)
- 10:20-10:50
- A three-dimensional vertex dynamics model for understanding the twisting phenomenon of the hindgut of Drosophila
- Masakazu Akiyama (Univ. of Toyama)
- 10:50-11:05
- Break
- 11:05-11:35
- Parameter estimation using data-assimilation method in a weather system
- Kaman Kong (RIKEN)
- 11:35-13:00
- Lunch
- 13:00-14:00
- 予測科学/ Prediction Science (This lecture will be held in Japanese)
- Takemasa Miyoshi (RIKEN)
- 14:05-14:35
- Migigation of heavy precipitation events through weather intervention
- Atsushi Hamada (Univ. of Toyama)
- 14:40-15:10
- Implications of over the 30 years observation of aerosol optical properties
- Kazuma Aoki (Univ. of Toyama)
- 15:10-15:30
- Group photo & Break
- 15:30-17:00
- Poster session
- 17:30-
- Departure from the University of Toyama
- 18:00-
- Dinner
Day 2: December 24
- 9:30-10:00
- Improving Fine-Tuning of Classifier Models with Latent Clustering Correction
- Cédric Ho Thanh (RIKEN)
- 10:05-10:35
- Data-driven Pre-disease Science: Data Analysis Approaches
- Takayuki Haruki (Univ. of Toyama)
- 10:40-11:10
- An Enhanced Transformer-Reinforcement Learning Model for EHR Data Analysis and Prediction
- Ruiming Li (RIKEN)
- 11:15-11:45
- Data assimilation in volcanic deformation
- Shungo Tonoyama (RIKEN)
- 11:45-12:00
- Closing remark
- Takemasa Miyoshi (RIKEN)
Poster presentations
- 五十嵐篤志 (富山大)
リザバーコンピューティングによる結合振動子系の軌道予測の試み- 稲葉晴紀 (富山大)
OpenCVと深層学習を用いた金魚2個体の同時追跡- 小久保茉由 (富山大)
特定健診データに対するエネルギー地形解析- 佐藤真樹 (富山大)
How much can surface boundary layer observations from Uozu mirage study contribute to the Prediction Science?- 宇田智紀 (富山大)
2次元キャビティ流れの流線トポロジー解析- 青木蓮岳 (富山大)
Consideration of methods for utilizing Liblis to reduce calculation time in numerical calculations of reaction-diffusion equations- 上好慧 (富山大)
Two Types of Convectively Coupled Westward Inertia-Gravity Waves- Shigenori Otsuka (RIKEN)
Global precipitation nowcasting using a ConvLSTM with adversarial training- Shun Oishi (RIKEN)
Deterministic and Ensemble forecasts of Kuroshio south of Japan- Rakesh Teja Konduru (RIKEN)
Essential diagnostics for evaluating data assimilation and machine learning models: From data to decisions- Shungo Tonoyama (RIKEN)
粒子重力流における混合と連行- Goshi Ogita (RIKEN)
Toward elucidating cell-to-cell mechanical interactions that convert cell chirality into multicellular chirality- Ryohei Nishizawa (RIKEN)
Theoretical model for chiral collective rotation of multicellular colony- Ruiming Li (RIKEN)
An Enhanced Transformer-Reinforcement Learning Model for EHR Data Analysis and Prediction- Tristan Hascoet (RIKEN)
Data-driven hydrological simulation at national scale
Organized by
- Prediction Science Laboratory, RIKEN
- Data Assimilation Research Team, RIKEN
- Faculty of Science, University of Toyama
- Faculty of Sustainable Design, University of Toyama
Contact
prediction-seminar@ml.riken.jp