Akimoto Yohei

Researcher's full information

Conference, etc.
  • CMA-ESによる大域的最適化に基づく低層なニューラル・ネットワークを用いた船舶のトラッキング制御について
    牧 敦生; 脇田 康希; 正司 公一; 宮内 新喜; 梅田 直哉; 秋本 洋平
    令和3年 日本船舶海洋工学会 春季講演会/2021-05-31--2021-06-01
  • ベクツイン舵のジョイスティック操船の高機能化に向けた予備的研究
    秋本 洋平; 牧 敦生; 脇田 康希
    令和3年 日本船舶海洋工学会 春季講演会/2021-05-31--2021-06-01
  • モデル化誤差に対してロバストな着桟制御に向けた検討
    秋本 洋平; 宮内 新喜; 牧 敦生
    令和3年 日本船舶海洋工学会 春季講演会/2021-05-31--2021-06-01
  • CMA-ES and Advanced Adaptation Mechanisms
    Akimoto Yohei; Hansen Nikolaus
    GECCO '21 Genetic and Evolutionary Computation Conference/2021-07-10--2021-07-14
  • Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    36th AAAI Conference on Artificial Intelligence/2022-02-22--2022-03-01
  • Statistically Significant Pattern Mining with Ordinal Utility
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining/2020-07-06--2020-07-10
  • Multi-Fidelity Optimization Approach under Prior and Posterior Constraints and its Application to Compliance Minimization
    Akimoto Yohei; Sakamoto Naoki; Ohtani Makoto
    Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in Computer Science/2020-09-05--2020-09-09
  • Warm Starting CMA-ES for Hyperparameter Optimization
    Nomura Masahiro; Watanabe Shuhei; Akimoto Yohei; Ozaki Y...
    Proceedings of the AAAI Conference on Artificial Intelligence/2021-02-02--2021-02-09
  • AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
    Sato Rei; Sakuma Jun; Akimoto Yohei
    Proceedings of the AAAI Conference on Artificial Intelligence/2021-02-02--2021-02-09
  • Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
    Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Saddle Point Optimization with Approximate Minimization Oracle
    Youhei Akimoto
    GECCO '21/2021-07-10--2021-07-14
  • Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
    Tanabe Takumi; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
    Morinaga Daiki; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Deep Generative Model for Non-convex Constraint Handling
    Sakamoto Naoki; Semmatsu Eiji; Fukuchi Kazuto; Sakuma ...
    Genetic and Evolutionary Computation Conference (GECCO)/2020-07-08--2020-07-12
  • Generate (non-software) Bugs to Fool Classifiers
    Yakura Hiromu; Akimoto Yohei; Sakuma Jun
    Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020/2020-02-07--2020-02-12
  • CMA-ES and Advanced Adaptation Mechanisms
    Akimoto Youhei; Hansen Nikolaus
    Genetic and Evolutionary Computation Conference (GECCO)/2019-07-13--2019-07-17
  • Generate (non-software) Bugs to Fool Classifiers
    Yakura Hiromu; Akimoto Yohei; Sakuma Jun
    Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020/2020-02-07--2020-02-12
  • Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients
    Daiki Morinaga; 秋本 洋平
    ACM/SIGEVO Conference on Foundations of Genetic Algorithms/2019-08-27--2019-08-29
  • Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
    Akimoto Yohei; Shirakawa Shinichi; Yoshinari Nozomu; Uchi...
    International Conference on Machine Learning/2019-07-09--2019-07-15
  • Well Placement Optimization under Geological Statistical Uncertainty
    Miyagi Atsuhiro; Akimoto Yohei; Yamamoto Hajime
    Genetic and Evolutionary Computation Conference 2019/2019-07-13--2019-07-17
  • Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
    Sakamoto Naoki; Akimoto Yohei
    Genetic and Evolutionary Computation Conference/2019-07-13--2019-07-17
  • Adaptive Objective Selection for Multi-Fidelity Optimization
    Akimoto Yohei; Shimizu Takuma; Yamaguchi Takahiro
    Genetic and Evolutionary Computation Conference 2019/2019-07-13--2019-07-17
  • Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution: Toward Finite-Sample Analysis on Convex Quadratic Functions
    Uchida Kento; 秋本 洋平; Shirakawa Shinichi
    2018 JPNSEC International Workshop on Evolutionary Computation/2018-08-31--2018-09-01
  • 地質の不確実性を考慮した井戸配置最適化
    宮城 充宏; 山本 肇; 秋本 洋平
    進化計算シンポジウム2018/2018-12-08--2018-12-09
  • 凸二次関数におけるCovariance Matrix Adaptation Evolution Strategyの有限サンプル解析
    内田 絢斗; 白川 真一; 秋本 洋平
    進化計算シンポジウム2018/2018-12-08--2018-12-09
  • more...