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秋本洋平

Akimoto, Yohei

システム情報系 , 教授
Institute of Systems and Information Engineering , Professor

https://www.bbo.cs.tsukuba.ac.jp/

https://sites.google.com/site/youheiakimotospage/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

41. 精度劣化を伴わない特定クラスの再現率改善のための分類器学習西山, 大輝; 福地, 一斗; 秋本, 洋平; 佐久間, 淳
人工知能学会全国大会論文集 JSAI2023: (2023)
42. コンセプトをトリガーとしたステルス性の高いバックドア攻撃大磯, 秀幸; 福地, 一斗; 秋本, 洋平; 佐久間, 淳
人工知能学会全国大会論文集 JSAI2023: (2023)
43. ノックオフによる画像分類器の統計的有意なコンセプトに基づく説明 XU, KAIWEN; 福地, 一斗; 秋本, 洋平; 佐久間, 淳
人工知能学会全国大会論文集 JSAI2023: (2023)
44. Min-Max Regret型強化学習におけるRegret近似の改善齊藤, 啓太; 田邊, 拓実; 秋本, 洋平
人工知能学会全国大会論文集 (2023)
45. 少数のセンシティブ属性を用いた公平な学習小路口, 望; 福地, 一斗; 秋本, 洋平; 佐久間, 淳
人工知能学会全国大会論文集 JSAI2023: (2023)
46. CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy Nishiyama, Daiki; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E106D: 523 (2023)
47. Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Liu, Jiayang; Zhang, Weiming; Fukuchi, Kazuto; Akimoto, YoheiSakuma, Jun
PATTERN RECOGNITION 134: (2023) Semantic Scholar
48. System identification of porpoising dynamics of high-speed planing craft using full scale trial data Satoru Hamada; Yoshiki Miyauchi; Youhei Akimoto; Naoya UmedaAtsuo Maki
Ocean Engineering 270: 113585 (2023) Semantic Scholar
49. Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Liu, Jiayang; Zhang, Weiming; Fukuchi, Kazuto; Akimoto, YoheiSakuma, Jun
Pattern Recognition 134: (2023)
50. Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization Miyagi, Atsuhiro; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
APPLIED SOFT COMPUTING 133: (2023)
51. Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Tanabe, Takumi; Sato, Rei; Fukuchi, Kazuto; Sakuma, JunAkimoto, Yohei
Advances in Neural Information Processing Systems 35 (NeurIPS 2022) 6967 (2022)
52. (1+1)-ES の一次収束と収束速度の理論的評価森永大貴; 福地一斗; 佐久間淳; 秋本, 洋平
進化計算シンポジウム2022講演論文集 (2022)
53. ミニマックス最適化における最悪性能と不確実性集合の大きさのトレードオフを獲得するための二目的最適化アプローチ江戸陽向; 秋本, 洋平
進化計算シンポジウム2022講演論文集 (2022)
54. Evolutionary Hierarchical Reinforcement Learning for Strategy Discovery Under Uncertainty Jake, Butter; 秋本, 洋平
進化計算シンポジウム2022講演論文集 (2022)
55. Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models Naoki Sakamoto; Rei Sato; Kazuto Fukuchi; Jun SakumaYouhei Akimoto
IEEE Access 10: 117501 (2022)
56. 外部依存しない天文航法の自動化に向けた自動索星技術に関する研究脇田, 康希; 牧, 敦生; 羽根, 冬希; 秋本, 洋平梅田, 直哉
Conference Proceedings The Japan Society of Naval Architects and Ocean Engineers (2022)
57. 操縦性能モデリング自動化のための港内操船の動的モデル宮内, 新喜; 秋本, 洋平; 梅田, 直哉; 牧, 敦生
Conference Proceedings The Japan Society of Naval Architects and Ocean Engineers (2022)
58. Domain Generalization via Adversarially Learned Novel Domains Yu Zhe; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma
IEEE Access 10: 101855 (2022) Semantic Scholar
59. Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization Naoki Sakamoto; Youhei Akimoto
Evolutionary Computation 1 (2022)
60. CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy Nishiyama, Daiki; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
2022 International Joint Conference on Neural Networks (IJCNN) 1 (2022)

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書籍等出版物情報はまだありません。

1. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; AKIMOTO, Yohei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics
2. Sign-Averaging Covariance Matrix Adaptation Evolution Strategy Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’24)
3. Analysis of Search Space Design for Neural Architecture Search with Weight Sharing AKIMOTO, Yohei; Shirakawa, Shinichi
International Joint Conference on Neural Networks
4. Stepwise Alignment for Constrained Language Model Policy Optimization Wachi, Akifumi; Tran, Thien Q.; Sato, Rei; Tanabe, Takumi; AKIMOTO, Yohei
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
5. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; AKIMOTO, Yohei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics
6. Feature selection based on cluster assumption in PU learning Uchikoshi, Motonobu; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’25)
7. CMA-ES with Individual Adaptive Reevaluation for Black Box Value-At-Risk Optimization Ng, Ze Kai; Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’25)
8. Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables AKIMOTO, Yohei; Gao, Xilin; Ng, Ze Kai; Morinaga, Daiki
Genetic and Evolutionary Computation Conference (GECCO ’25)
9. 一般和確率ゲームにおける定常Stackelberg均衡のための方策反復法工藤, ミコト; 秋本, 洋平
2024年度人工知能学会全国大会（第38回）
10. 連続値ブラックボックス最適化アルゴリズム(1+1)-ESの強凸かつリプシッツ平滑な目的関数における収束速度の理論的評価森永, 大貴; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2024年度人工知能学会全国大会（第38回）
11. WRA-CMA-ESの並列実行時の非効率性の分析とその解決策の検討菊地信志; 江戸陽向; 宮城充宏; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
12. Individual Monte Carlo sample size adaptation using Bootstrapping for black box Value-at-Risk optimization with Evolution Strategies Kai, Ng Ze; Daiki, Morinaga; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
13. Prioritized Level Replay のカリキュラムラーニングとしての性能評価河上幸樹; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
14. 連続値制御強化学習における行動方策と評価用方策の分離齊藤, 啓太; 秋本, 洋平
第37回自律分散システム・シンポジウム
15. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; Akimoto, Youhei; Sakuma, Jun; Fukuchi, Kazuto
Workshop of Mathematics of Modern Machine Learning (M3L) (at The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024))
16. Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Tanabe, Takumi; Sato, Rei; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
17. Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization Edo, Hinata; Miyauchi, Yoshiki; Maki, Atsuo; Akimoto, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’23)
18. CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? Nomura, Masahiro; Akimoto, Yohei; Ono, Isao
Genetic and Evolutionary Computation Conference (GECCO ’23)
19. Privformer: Privacy-preserving Transformer with MPC Akimoto, Yoshimasa; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
2023 8th IEEE European Symposium on Security and Privacy (EuroSP)
20. 操縦性能モデリング自動化のための港内操船の動的モデル宮内, 新喜; 秋本, 洋平; 梅田, 直哉; 牧, 敦生
令和4年日本船舶海洋工学会秋季講演会