Last Update: Nov. 14, 2024
Program
Day 1 (Nov. 25th Mon.)
| Time | Session/Chair person | Title | Presenter/Place |
| 10:00 | Registration | Fukyu-to (普及棟) | |
| 11:00 | XFEL Optimizer Demonstration | Central Control Room (中央制御室) | |
| 12:00 | Lunch Break | ||
| 13:30 | Tutorial 1 Iwai Eito (JASRI/RIKEN) |
Tutorial (Bayesian Optimization and Anomaly Detection) |
Maesaka Hirokazu (RIKEN/JASRI) |
| 14:30 | Break | ||
| 14:50 | Tutorial 2 Maesaka Hirokazu (RIKEN/JASRI) |
Tutorial (Convolutional Neural Network) |
Maesaka Hirokazu (RIKEN/JASRI) |
| 15:20 | Tutorial (Reinforcement Learning) |
Yasutome Kenji (RIKEN) | |
| 15:50 | Break | ||
| 16:00 | Site Tour | ||
| 17:30 | End | Bus Departure: SPring-8 Gate at 17:55 for Aioi | |
Day 2 (Nov. 26th Tue.)
| Time | Session/Chair person | Title | Presenter/Place |
| 9:00 | Registration | Fukyu-to (普及棟) | |
| 9:10 | Oral Session 1 Yorita Tetsuhiko (Osaka Univ. RCNP) |
Greetings | Maesaka Hirokazu (RIKEN/JASRI) |
| 9:20 | Introduction to Reinforcement Learning and Challenges in Real World | Akatsuka Shunichi (Hitachi America, Ltd.) | |
| 9:50 | 機械学習を用いたビームプロファイル画像からのビームパラメータ推定 | 北村 遼 (JAEA/J-PARC) | |
| 10:20 | Break | ||
| 10:40 | Oral Session 2 Iwasaki Masako (Osaka Metro. Univ.) |
Constrained Bayesian Optimization of Beam Optics to reduce beam losses | De Franco Andrea (QST) |
| 11:10 | Baysian optimization with safety function for beam optics tuning for heavy ion beam at RIBF | Nishi Takahiro (RIKEN Nishina Center) | |
| 11:40 | 機械学習による放射光リングビーム入射の最適化 | Sakurai Rei (Hiroshima Univ.) | |
| 12:00 | Lunch | ||
| 13:30 | Oral Session 3 Nomura Masahiro (J-PARC/JAEA) |
Prediction for Combustion States of Waste-to-Energy Plants with Fuzzy Relational Maps of Sensors | Umano Motohide (Kanadevia Co.) |
| 14:00 | 理研仁科センターでのNNの活用 | Morita Yasuyuki (RIKEN) | |
| 14:30 | ベイズ最適化によるサイクロトロン運転調整 | Imura Tomoki (Osaka Univ. RCNP) | |
| 14:50 | Break | ||
| 15:10 | Oral Session 4 Nishi Takahiro (RIKEN Nishina Center) |
GEANT4 を用いたILC 電子ドライブ陽電子源のパラメータ特性の解析 | Sasaki Yodai (Hiroshima Univ.) |
| 15:30 | ILC電子ドライブ陽電子源の全体最適化に向けた機械学習の活用 | Kuroguchi Shunpei (Hiroshima Univ.) | |
| 15:50 | 説明可能 AI を用いた KEK 電子陽電子入射器調整性能向上に寄与する重要パラメータの推定 | Uemura Kosuke (Osaka Metro. Univ.) | |
| 16:10 | Towards a practical ML-assisted injection tuning tool at SuperKEKB | Kato Shinnosuke (Univ. Tokyo) | |
| 16:30 | Transfer to Aioi | Bus Departure: SPring-8 Gate at 16:55 for Aioi | |
| 18:00 | Dinner | 魚萬 | |
Day 3 (Nov. 27th Wed.)
| Time | Session/Chair person | Title | Presenter/Place |
| 9:00 | Oral Session 5 Morita Yasuyuki (RIKEN) |
ニューラルネットワークを用いたJ-PARC RCSペイントバンプ電源の波形パターン制御 | 杉田 萌 (JAEA) |
| 9:30 | 加速器での深層生成モデルCVAEの利用について | 野村 昌弘 (J-PARC/JAEA) | |
| 10:00 | 機械学習を用いた加速器状態診断の試み：KEK PF BPMデータを用いたオートエンコーダの再現性と説明可能性の探求 | 澤田 康輔 (呉高専) | |
| 10:20 | Break | ||
| 10:40 | Oral Session 6 Yasutome Kenji (RIKEN) |
The Age of the Human Frame Problem | Kuroguchi Shunpei (Hiroshima Univ.) |
| 11:00 | 因果探索を用いたSuperKEKB運転の高度化 | Arima Ryota (Univ. Tokyo) | |
| 11:20 | TBD | Iwai Eito (JASRI/RIKEN) | |
| 11:50 | Closing Remarks | Maesaka Hirokazu (RIKEN/JASRI) | |
| 12:00 | End | Bus Departure: 12:28 or 13:26 at SPring-8 Gate for Aioi | |
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