Shinichi Shirakawa

According to our database, Shinichi Shirakawa authored at least 68 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

ACM Trans. Evol. Learn. Optim., June, 2024

HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.

Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa

Knowl. Based Syst., 2024

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm.

Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto

CoRR, 2024

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Warm Starting of CMA-ES for Contextual Optimization Problems.

Yuta Sekino, Kento Uchida, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Natural Gradient Interpretation of Rank-One Update in CMA-ES.

Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Neural Additive and Basis Models with Feature Selection and Interactions.

Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization.

Masashi Noguchi, Shinichi Shirakawa

Proceedings of the International Joint Conference on Neural Networks, 2024

Analysis of Search Space Design for Neural Architecture Search with Weight Sharing.

Youhei Akimoto, Shinichi Shirakawa

Proceedings of the International Joint Conference on Neural Networks, 2024

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions.

Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

CMA-ES with Adaptive Reevaluation for Multiplicative Noise.

Kento Uchida, Kenta Nishihara, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CMA-ES for Safe Optimization.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CatCMA : Stochastic Optimization for Mixed-Category Problems.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

ATNAS: Automatic Termination for Neural Architecture Search.

Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino

Neural Networks, September, 2023

Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model.

Genki Sakata, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.

Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.

Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Evaluation of text-to-gesture generation model using convolutional neural network.

Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa

Neural Networks, 2022

Generation of microscopic structure of solder material with desirable characteristics based on deep learning.

Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa

Knowl. Based Syst., 2022

CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

CoRR, 2022

Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality.

Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.

Yuhei Noda, Shota Saito, Shinichi Shirakawa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance.

Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing.

Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa

Proceedings of the IEEE Globecom 2022 Workshops, 2022

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, Shinichi Shirakawa, Naoki Hamada

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Benchmarking CMA-ES with margin on the bbob-mixint testbed.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Reduction of genetic drift in population-based incremental learning via entropy regularization.

Ryoki Hamano, Shinichi Shirakawa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Non-strict Attentional Region Annotation to Improve Image Classification Accuracy.

Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters.

Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming.

Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions.

Kento Uchida, Shinichi Shirakawa, Youhei Akimoto

IEEE Trans. Evol. Comput., 2020

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao

Evol. Comput., 2020

Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality.

Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment.

Wataru Shibayama, Shinichi Shirakawa

Proceedings of the Advances in Computer Graphics, 2020

2019

Optimization of H0 Photonic Crystal Nanocavity using Neural Network.

Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization.

Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa

Proceedings of the Advances in Visual Computing, 2019

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.

Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida

Proceedings of the 36th International Conference on Machine Learning, 2019

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.

Shota Saito, Shinichi Shirakawa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network.

Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto

CoRR, 2018

Sample Reuse via Importance Sampling in Information Geometric Optimization.

Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara

CoRR, 2018

Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network.

Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi

Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures.

Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Analysis of information geometric optimization with isotropic gaussian distribution under finite samples.

Kento Uchida, Shinichi Shirakawa, Youhei Akimoto

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Embedded feature selection using probabilistic model-based optimization.

Shota Saito, Shinichi Shirakawa, Youhei Akimoto

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling.

Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM.

Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi

Proceedings of the 5th International Conference on Human Agent Interaction, 2017

2016

Bag of local landscape features for fitness landscape analysis.

Shinichi Shirakawa, Tomoharu Nagao

Soft Comput., 2016

Hierarchical feature construction for image classification using Genetic Programming.

Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Impact of invariant objective for order preserving transformation in Bayesian optimization.

Shinichi Shirakawa

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Multiple Binary Codes for Fast Approximate Similarity Search.

Shinichi Shirakawa

IEICE Trans. Inf. Syst., 2015

Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care.

Yu Kobayashi, Dai Hasegawa, Shinichi Shirakawa, Hiroshi Sakuta, Eijun Nakayama

Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015

The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent.

Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, Kouzou Ohara

Proceedings of the Learning and Collaboration Technologies, 2015

Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling.

Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Local Landscape Patterns for Fitness Landscape Analysis.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Natural Gradient Approach for Linearly Constrained Continuous Optimization.

Youhei Akimoto, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Fast Similarity Search Using Multiple Binary Codes.

Shinichi Shirakawa

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2010

Ensemble Image Classification Method Based on Genetic Image Network.

Shiro Nakayama, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao

Proceedings of the Genetic Programming, 13th European Conference, 2010

Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming.

Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Automatic construction of image transformation algorithms using feature based genetic image network.

Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Graph structured program evolution with automatically defined nodes.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Genetic Image Network for Image Classification.

Shinichi Shirakawa, Shiro Nakayama, Tomoharu Nagao

Proceedings of the Applications of Evolutionary Computing, 2009

Evolution of Search Algorithms Using Graph Structured Program Evolution.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Genetic Programming, 12th European Conference, 2009

Evolutionary image segmentation based on multiobjective clustering.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Evolutionary algorithm considering program size: efficient program evolution using grape.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Evolution of sorting algorithm using graph structured program evolution.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the IEEE International Conference on Systems, 2007

Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm.

Shinichi Shirakawa, Tomoharu Nagao

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Graph structured program evolution.

Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao

Proceedings of the Genetic and Evolutionary Computation Conference, 2007