Graph structured program evolution. - Shinichi Shirakawa; Shintaro Ogino; Tomoharu Nagao (GECCO, 2007)

Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm. - Shinichi Shirakawa; Tomoharu Nagao (ISVC (2), 2007)

Evolution of sorting algorithm using graph structured program evolution. - Shinichi Shirakawa; Tomoharu Nagao (SMC, 2007)

Evolutionary algorithm considering program size: efficient program evolution using grape. - Shinichi Shirakawa; Tomoharu Nagao (GECCO (Companion), 2008)

Evolutionary image segmentation based on multiobjective clustering. - Shinichi Shirakawa; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2009)

Evolution of Search Algorithms Using Graph Structured Program Evolution. - Shinichi Shirakawa; Tomoharu Nagao (EuroGP, 2009)

Genetic Image Network for Image Classification. - Shinichi Shirakawa; Shiro Nakayama; Tomoharu Nagao (EvoWorkshops, 2009)

Graph structured program evolution with automatically defined nodes. - Shinichi Shirakawa; Tomoharu Nagao (GECCO, 2009)

Automatic construction of image transformation algorithms using feature based genetic image network. - Yuta Nakano; Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2010)

Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. - Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2010)

Ensemble Image Classification Method Based on Genetic Image Network. - Shiro Nakayama; Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (EuroGP, 2010)

Fast Similarity Search Using Multiple Binary Codes. - Shinichi Shirakawa (ICPR, 2014)

Natural Gradient Approach for Linearly Constrained Continuous Optimization. - Youhei Akimoto; Shinichi Shirakawa (PPSN, 2014)

Local Landscape Patterns for Fitness Landscape Analysis. - Shinichi Shirakawa; Tomoharu Nagao (SEAL, 2014)

Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. - Shinichi Shirakawa; Youhei Akimoto; Kazuki Ouchi; Kouzou Ohara (GECCO, 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 (HCI (24), 2015)

Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care. - Yu Kobayashi; Dai Hasegawa; Shinichi Shirakawa; Hiroshi Sakuta; Eijun Nakayama (MindCare, 2015)

Multiple Binary Codes for Fast Approximate Similarity Search. - Shinichi Shirakawa (IEICE Trans. Inf. Syst., 2015)

Impact of invariant objective for order preserving transformation in Bayesian optimization. - Shinichi Shirakawa (CEC, 2016)

Hierarchical feature construction for image classification using Genetic Programming. - Masanori Suganuma; Daiki Tsuchiya; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2016)

Bag of local landscape features for fitness landscape analysis. - Shinichi Shirakawa; Tomoharu Nagao (Soft Comput., 2016)

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 (HAI, 2017)

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. - Shinichi Shirakawa; Yasushi Iwata; Youhei Akimoto (AAAI, 2018)

Embedded feature selection using probabilistic model-based optimization. - Shota Saito; Shinichi Shirakawa; Youhei Akimoto (GECCO (Companion), 2018)

Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. - Kento Uchida; Shinichi Shirakawa; Youhei Akimoto (GECCO, 2018)

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. - Masanori Suganuma; Shinichi Shirakawa; Tomoharu Nagao (IJCAI, 2018)

Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. - Dai Hasegawa; Naoshi Kaneko; Shinichi Shirakawa; Hiroshi Sakuta; Kazuhiko Sumi (IVA, 2018)

Sample Reuse via Importance Sampling in Information Geometric Optimization. - Shinichi Shirakawa; Youhei Akimoto; Kazuki Ouchi; Kouzou Ohara (CoRR, 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)

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. - Shota Saito; Shinichi Shirakawa (ICANN (2), 2019)

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. - Youhei Akimoto; Shinichi Shirakawa; Nozomu Yoshinari; Kento Uchida; Shota Saito; Kouhei Nishida (ICML, 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 (ISVC (2), 2019)

Optimization of H0 Photonic Crystal Nanocavity using Neural Network. - Ryotaro Abe; Taichi Takeda; Ryo Shiratori; Shinichi Shirakawa; Shota Saito; Toshihiko Baba (OECC/PSC, 2019)

Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment. - Wataru Shibayama; Shinichi Shirakawa (CGI, 2020)

Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. - Teppei Yamaguchi; Kento Uchida; Shinichi Shirakawa (PPSN (1), 2020)

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming. - Masanori Suganuma; Masayuki Kobayashi; Shinichi Shirakawa; Tomoharu Nagao (Evol. Comput., 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)

Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming. - Masanori Suganuma; Shinichi Shirakawa; Tomoharu Nagao (Deep Neural Evolution, 2020)

NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. - Yoichi Hirose; Nozomu Yoshinari; Shinichi Shirakawa (ACML, 2021)

Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. - Satoshi Arai; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2021)

Reduction of genetic drift in population-based incremental learning via entropy regularization. - Ryoki Hamano; Shinichi Shirakawa (GECCO Companion, 2022)

CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO, 2022)

Benchmarking CMA-ES with margin on the bbob-mixint testbed. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO Companion, 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 (GECCO, 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 (GLOBECOM (Workshops), 2022)

Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. - Masayuki Kobayashi; Shinichi Shirakawa; Tomoharu Nagao (ICAART (3), 2022)

Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. - Yuhei Noda; Shota Saito; Shinichi Shirakawa (ICANN (4), 2022)

Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. - Teppei Yamaguchi; Kento Uchida; Shinichi Shirakawa (SSCI, 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)

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)

Evaluation of text-to-gesture generation model using convolutional neural network. - Eiichi Asakawa; Naoshi Kaneko; Dai Hasegawa; Shinichi Shirakawa (Neural Networks, 2022)

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. - Yutaro Yamada; Kento Uchida; Shota Saito; Shinichi Shirakawa (EvoApplications@EvoStar, 2023)

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. - Yohei Watanabe 004; Kento Uchida; Ryoki Hamano; Shota Saito; Masahiro Nomura; Shinichi Shirakawa (GECCO, 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 (VISIGRAPP (2: HUCAPP), 2023)

ATNAS: Automatic Termination for Neural Architecture Search. - Kotaro Sakamoto; Hideaki Ishibashi; Rei Sato; Shinichi Shirakawa; Youhei Akimoto; Hideitsu Hino (Neural Networks, 2023)

CatCMA : Stochastic Optimization for Mixed-Category Problems. - Ryoki Hamano; Shota Saito; Masahiro Nomura; Kento Uchida; Shinichi Shirakawa (GECCO, 2024)

CMA-ES for Safe Optimization. - Kento Uchida; Ryoki Hamano; Masahiro Nomura; Shota Saito; Shinichi Shirakawa (GECCO, 2024)

CMA-ES with Adaptive Reevaluation for Multiplicative Noise. - Kento Uchida; Kenta Nishihara; Shinichi Shirakawa (GECCO, 2024)

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. - Yutaro Yamada; Kento Uchida; Shinichi Shirakawa (GECCO Companion, 2024)

Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck. - Yen-Hsiu Chen; Yoichi Hirose; Shoma Shimizu; Shota Saito; Kento Uchida; Shinichi Shirakawa; Takayuki Nishio (GLOBECOM (Workshops), 2024)

Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. - Youhei Akimoto; Shinichi Shirakawa (IJCNN, 2024)

Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization. - Masashi Noguchi; Shinichi Shirakawa (IJCNN, 2024)

Neural Additive and Basis Models with Feature Selection and Interactions. - Yasutoshi Kishimoto; Kota Yamanishi; Takuya Matsuda; Shinichi Shirakawa (PAKDD (3), 2024)

Natural Gradient Interpretation of Rank-One Update in CMA-ES. - Ryoki Hamano; Shinichi Shirakawa; Masahiro Nomura (PPSN (2), 2024)

Warm Starting of CMA-ES for Contextual Optimization Problems. - Yuta Sekino; Kento Uchida; Shinichi Shirakawa (PPSN (2), 2024)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. - Kento Uchida; Ryoki Hamano; Masahiro Nomura; Shota Saito; Shinichi Shirakawa (PPSN (2), 2024)

BINN-DT: Towards Better Interpretability of Multidimensional Decision Rules via Bivariate Nonlinear Node Decision Trees. - Satoshi Arai; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2024)

Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. - Kento Uchida; Teppei Yamaguchi; Shinichi Shirakawa (CoRR, 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)

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., 2024)

Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. - Rin Ashizawa; Yoichi Hirose; Nozomu Yoshinari; Kento Uchida; Shinichi Shirakawa (ACL (Findings), 2025)

CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. - Ryoki Hamano; Masahiro Nomura; Shota Saito; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

Elitist Evolutionary Algorithm for Optimization on Sets of Points. - Takumi Matsuo; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. - Yuta Sekino; Yohei Watanabe 004; Kento Uchida; Shinichi Shirakawa (GECCO, 2025)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. - Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki Morinaga; Youhei Akimoto (Evol. Comput., 2025)

Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers. - Hikaru Sawafuji; Ryota Ozaki; Takuto Motomura; Toyohisa Matsuda; Masanori Tojima; Kento Uchida; Shinichi Shirakawa (CoRR, 2025)