秋本 洋平(アキモト ヨウヘイ)
- 査読付き学術雑誌・国際会議論文
- Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions
Morinaga Daiki; Fukuchi Kazuto; Sakuma Jun; Akimoto Y...
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION/28(2)/pp.501-515, 2024-04 - CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?
Nomura Masahiro; Akimoto Yohei; Ono Isao
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference/pp.839-847, 2023-07 - Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization
Edo Hinata; Miyauchi Yoshiki; Maki Atsuo; Akimoto Yohei
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference/pp.1339-1347, 2023-07 - Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Tanabe Takumi; Sato Rei; Fukuchi Kazuto; Sakuma Jun; ...
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)/pp.6967-6981, 2022-12 - Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms
Akimoto Yohei
Algorithmica/86/pp.33-63, 2024-01 - Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning
Wakita Kouki; Akimoto Yohei; Rachman Ⅾimas M.; Miyauch...
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY/28(4)/pp.844-861, 2023-10 - ATNAS: Automatic Termination for Neural Architecture Search
Sakamoto Kotaro; Ishibashi Hideaki; Sato Rei; Shirakaw...
Neural Networks/166/pp.446-458, 2023-09 - Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and its Application to Berthing Control Tasks
Miyagi Atsuhiro; Miyauchi Yoshiki; Maki Atsuo; Fukuchi...
ACM Transactions on Evolutionary Learning and Optimization/3(2)/pp.1-32, 2023-06 - Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Xu Kaiwen; Fukuchi Kazuto; Akimoto Youhei; Sakuma Jun
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23/(8)/pp.519-526, 2023-08 - Privformer: Privacy-preserving Transformer with MPC
Akimoto Yoshimasa; Fukuchi Kazuto; Akimoto Youhei; Sak...
2023 IEEE 8th European Symposium on Security and Privacy/pp.392-410, 2023-07 - Statistically Significant Pattern Mining With Ordinal Utility
Tran Thien Q. Q.; Fukuchi Kazuto; Akimoto Youhei; Saku...
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING/35(9)/pp.8770-8783, 2023-04-01 - On the Effect of the Sampling Ratio of Past Trajectories in the Combination of Evolutionary Algorithm and Deep Reinforcement Learning
Akimoto Yohei; Wang Yasen
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion/pp.1979-1983, 2022-07 - Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery
Syou Hirofumi; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
2022 International Joint Conference on Neural Networks (IJCNN)/pp.1-8, 2022-07 - 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)/pp.1-8, 2022-07 - Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Sato Rei; Akimoto Yohei; Fukuchi Kazuto; Sakuma Jun
2022 International Joint Conference on Neural Networks (IJCNN)/pp.01---10, 2022-07 - A Two-phase Framework with a Bezier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization
Tanabe Ryoji; Akimoto Yohei; Kobayashi Ken; Umeki Hirosh...
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference/pp.601-610, 2022-07 - Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference/pp.823-831, 2022-07 - Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function
Akimoto Yohei
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference/pp.1354-1362, 2022-07 - Domain Generalization via Adversarial Learned Novel Domains
Yu Zhe; Fuchiku Kazuto; Akimoto Yohei; Sakuma Jun
2022 IEEE International Conference on Multimedia and Expo (ICME)/pp.1-6, 2022-07 - CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Nishiyama Daiki; Fukuchi Kazuto; Akimoto Yohei; Sakuma...
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS/E106D(4)/pp.523-537, 2023-04 - System identification of Porpoising Dynamics of High-Speed Planing Craft Using Full Scale Trial Data
Hamada Satoru; Miyauchi Yoshiki; Akimoto Yohei; Umeda ...
OCEAN ENGINEERING/270, 2023-02 - Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto ...
APPLIED SOFT COMPUTING/133, 2023-01 - Adaptive Ranking-based Constraint Handling for Explicitly Constrained Black-Box Optimization
Sakamoto Naoki; Akimoto Yohei
EVOLUTIONARY COMPUTATION/30(4)/pp.503-529, 2022-12 - Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models
Sakamoto Naoki; Sato Rei; Fukuchi Kazuto; Sakuma Jun; Aki...
IEEE ACCESS/10/pp.117501-117514, 2022-11 - Unauthorized AI cannot Recognize Me: Reversible Adversarial Example
Liu Jiayang; Zhang Weiming; Fukuchi Kazuto; Akimoto Yohe...
PATTERN RECOGNITION/134, 2023-02 - さらに表示...
- Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions