Shinichi Shirakawa

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Topics

Covariance Matrix

Importance Sampling

Natural Gradient

Joint Optimization

Top Venues

GECCO Companion

Neural Networks

Publications

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
CatCMA : Stochastic Optimization for Mixed-Category Problems. GECCO (2024)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
CMA-ES for Safe Optimization. GECCO (2024)
Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion (2024)
Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR (2024)
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. CoRR (2024)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
CMA-ES for Safe Optimization. CoRR (2024)
Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network. Knowl. Based Syst. 284 (2024)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
CatCMA : Stochastic Optimization for Mixed-Category Problems. CoRR (2024)
Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura
Natural Gradient Interpretation of Rank-One Update in CMA-ES. CoRR (2024)
Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa
Neural Additive and Basis Models with Feature Selection and Interactions. PAKDD (3) (2024)
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. GECCO (2024)
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166 (2023)
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. CoRR (2023)
Genki Sakata, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model. VISIGRAPP (2: HUCAPP) (2023)
Masashi Noguchi, Shinichi Shirakawa
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization. CoRR (2023)
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. GECCO (2023)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization. CoRR (2022)
Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. SSCI (2022)
Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa
Generation of microscopic structure of solder material with desirable characteristics based on deep learning. Knowl. Based Syst. 258 (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
Benchmarking CMA-ES with margin on the bbob-mixint testbed. GECCO Companion (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. CoRR (2022)
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. GECCO (2022)
Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization. CoRR (2022)
Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. GLOBECOM (Workshops) (2022)
Ryoki Hamano, Shinichi Shirakawa
Reduction of genetic drift in population-based incremental learning via entropy regularization. GECCO Companion (2022)
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR (2022)
Yuhei Noda, Shota Saito, Shinichi Shirakawa
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. ICANN (4) (2022)
Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
Evaluation of text-to-gesture generation model using convolutional neural network. Neural Networks 151 (2022)
Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao
Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. ICAART (3) (2022)
Yuhei Noda, Shota Saito, Shinichi Shirakawa
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. CoRR (2022)
Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. ACML (2021)
Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. CoRR (2021)
Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao
Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. SMC (2021)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. 24 (6) (2020)
Wataru Shibayama, Shinichi Shirakawa
Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment. CGI (2020)
Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao
Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming. Evol. Comput. 28 (1) (2020)
Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. PPSN (1) (2020)
Shota Saito, Shinichi Shirakawa
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. CoRR (2019)
Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba
Optimization of H0 Photonic Crystal Nanocavity using Neural Network. OECC/PSC (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML (2019)
Shota Saito, Shinichi Shirakawa
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. ICANN (2) (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR (2019)
Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. ISVC (2) (2019)
Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. CoRR (2018)
Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. AAAI (2018)
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. IJCAI (2018)
Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) (2018)
Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. CoRR (2018)
Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi
Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. IVA (2018)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO (2018)
Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR (2018)
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. CoRR (2017)
Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi
Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM. HAI (2017)
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
A genetic programming approach to designing convolutional neural network architectures. GECCO (2017)
Shinichi Shirakawa
Impact of invariant objective for order preserving transformation in Bayesian optimization. CEC (2016)
Shinichi Shirakawa, Tomoharu Nagao
Bag of local landscape features for fitness landscape analysis. Soft Comput. 20 (10) (2016)
Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao
Hierarchical feature construction for image classification using Genetic Programming. SMC (2016)
Shinichi Shirakawa
Multiple Binary Codes for Fast Approximate Similarity Search. IEICE Trans. Inf. Syst. (3) (2015)
Yu Kobayashi, Dai Hasegawa, Shinichi Shirakawa, Hiroshi Sakuta, Eijun Nakayama
Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care. MindCare (2015)
Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO (2015)
Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, Kouzou Ohara
The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent. HCI (24) (2015)
Shinichi Shirakawa
Fast Similarity Search Using Multiple Binary Codes. ICPR (2014)
Shinichi Shirakawa, Tomoharu Nagao
Local Landscape Patterns for Fitness Landscape Analysis. SEAL (2014)
Youhei Akimoto, Shinichi Shirakawa
Natural Gradient Approach for Linearly Constrained Continuous Optimization. PPSN (2014)
Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar (2013)
Shiro Nakayama, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
Ensemble Image Classification Method Based on Genetic Image Network. EuroGP (2010)
Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. IEEE Congress on Evolutionary Computation (2010)
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
Automatic construction of image transformation algorithms using feature based genetic image network. IEEE Congress on Evolutionary Computation (2010)
Shinichi Shirakawa, Tomoharu Nagao
Graph structured program evolution with automatically defined nodes. GECCO (2009)
Shinichi Shirakawa, Tomoharu Nagao
Evolution of Search Algorithms Using Graph Structured Program Evolution. EuroGP (2009)
Shinichi Shirakawa, Tomoharu Nagao
Evolutionary image segmentation based on multiobjective clustering. IEEE Congress on Evolutionary Computation (2009)
Shinichi Shirakawa, Shiro Nakayama, Tomoharu Nagao
Genetic Image Network for Image Classification. EvoWorkshops (2009)
Shinichi Shirakawa, Tomoharu Nagao
Evolutionary algorithm considering program size: efficient program evolution using grape. GECCO (Companion) (2008)
Shinichi Shirakawa, Tomoharu Nagao
Evolution of sorting algorithm using graph structured program evolution. SMC (2007)
Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao
Graph structured program evolution. GECCO (2007)
Shinichi Shirakawa, Tomoharu Nagao
Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm. ISVC (2) (2007)