ホーム > 秋本 洋平/ Akimoto, Yohei
秋本 洋平
Akimoto, Yohei
システム情報系 , 准教授 Institute of Systems and Information Engineering , Associate Professor
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61.
Domain Generalization via Adversarial Learned Novel Domains
Yu, Zhe; Fuchiku, Kazuto; Akimoto, Yohei; Sakuma, Jun
2022 IEEE International Conference on Multimedia and Expo (ICME) 1 (2022)
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62.
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions
Youhei Akimoto; Anne Auger; Tobias Glasmachers; Daiki Morinaga
SIAM Journal on Optimization 32: 1402 (2022) Semantic Scholar
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63.
偽発見率を保証したコンセプトによる説明可能モデルの学習
徐, 楷文; 秋本, 洋平; 福地, 一斗; 佐久間, 淳
人工知能学会全国大会論文集 (2022)
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64.
ニューラルアーキテクチャサーチの最適停止
坂本, 航太郎; 佐藤, 怜; 白川, 真一; 秋本, 洋平日野, 英逸
人工知能学会全国大会論文集 (2022)
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65.
System parameter exploration of ship maneuvering model for automatic docking/berthing using CMA-ES
Yoshiki Miyauchi; Atsuo Maki; Naoya Umeda; Dimas M. RachmanYouhei Akimoto
Journal of Marine Science and Technology 27: 1065 (2022) Semantic Scholar
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66.
自動着桟制御に向けた静的障害物を考慮した追従制御則の強化学習を用いた獲得手法について
脇田, 康希; 秋本, 洋平; Dimas, M. Rachman; 天野, 希海 (+1 著者) 牧, 敦生
日本船舶海洋工学会講演会論文集 5 (2022)
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67.
低層ニューラルネットワーク型制御器によるトラッキング制御ベースの着桟操船
関, 十也; 脇田, 康希; 青木, 佑介; 秋本, 洋平牧, 敦生
日本船舶海洋工学会講演会論文集 41 (2022)
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68.
ベクツイン舵装備船舶の運動指示制御のためのMIMOフィードバックニューロコントローラ
巣山, 凜; 脇田, 康希; 秋本, 洋平; 青木, 佑介牧, 敦生
日本船舶海洋工学会講演会論文集 25 (2022)
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69.
Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control
Youhei Akimoto; Yoshiki Miyauchi; Atsuo Maki
ACM Transactions on Evolutionary Learning and Optimization 2: 1 (2022) Semantic Scholar
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70.
解の評価が高コストな場合における多様性最適化法の提案と評価
三村遼; 秋本, 洋平
進化計算学会研究会講演論文集 (2022)
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71.
An ODE method to prove the geometric convergence of adaptive stochastic algorithms
Youhei Akimoto; Anne Auger; Nikolaus Hansen
Stochastic Processes and their Applications 145: 269 (2022) Semantic Scholar
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72.
On neural network identification for low-speed ship maneuvering model
Kouki Wakita; Atsuo Maki; Naoya Umeda; Yoshiki Miyauchi (+2 著者) Youhei Akimoto
Journal of Marine Science and Technology 27: 772 (2022) Semantic Scholar
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73.
Electromagnetic-acoustic biphysical cloak designed through topology optimization
Garuda Fujii; Youhei Akimoto
Optics Express 30: 6090 (2022) Semantic Scholar
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74.
Optimization on planning of trajectory and control of autonomous berthing and unberthing for the realistic port geometry
Yoshiki Miyauchi; Ryohei Sawada; Youhei Akimoto; Naoya UmedaAtsuo Maki
Ocean Engineering 245: 110390 (2022) Semantic Scholar
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75.
Monotone improvement of information-geometric optimization algorithms with a surrogate function.
Youhei Akimoto
GECCO 1354 (2022) Semantic Scholar
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76.
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Ryoji Tanabe; Youhei Akimoto; Ken Kobayashi; Hiroshi Umeki (+1 著者) Naoki Hamada
GECCO 601 (2022) Semantic Scholar
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77.
On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning.
Yasen Wang; Youhei Akimoto
GECCO Companion 1979 (2022) Semantic Scholar
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78.
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization.
Ryoji Tanabe; Youhei Akimoto; Ken Kobayashi; Hiroshi Umeki (+1 著者) Naoki Hamada
CoRR abs/2203.15292: (2022)
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79.
CMA-ES and advanced adaptation mechanisms.
Youhei Akimoto; Nikolaus Hansen
GECCO Companion 1243 (2022) Semantic Scholar
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80.
Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation.
Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto
GECCO 823 (2022) Semantic Scholar
書籍等出版物情報はまだありません。
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1.
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Fujikawa, Mitsuhiro; Akimoto, Youhei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
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2.
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy
Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’24)
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3.
Analysis of Search Space Design for Neural Architecture Search with Weight Sharing
AKIMOTO, Yohei; Shirakawa, Shinichi
International Joint Conference on Neural Networks
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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)
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5.
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Fujikawa, Mitsuhiro; Akimoto, Youhei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
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6.
Feature selection based on cluster assumption in PU learning
Uchikoshi, Motonobu; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’25)
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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)
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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)
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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)
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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)
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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
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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
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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
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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
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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))
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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)
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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)
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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)
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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)
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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
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