Shinichi Shirakawa

103 papers A* 3A 15B 18C 2Journal 36Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient. EvoCOP Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2025	—	`conf`	Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. ACL (Findings) Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa
2025	J	`jnl`	Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers. CoRR Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa
2025	A	`conf`	CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. GECCO Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa
2025	J	`jnl`	CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. CoRR Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa
2025	A	`conf`	Elitist Evolutionary Algorithm for Optimization on Sets of Points. GECCO Takumi Matsuo, Kento Uchida, Shinichi Shirakawa
2025	—	`conf`	Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality. GECCO Companion Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2025	J	`jnl`	Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers. CoRR Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, Shinichi Shirakawa
2025	B	`conf`	Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift. PRICAI Keisuke Sugawara, Kento Uchida, Shinichi Shirakawa
2025	B	`conf`	OnDeFog: Online Decision Transformer Under Frame Dropping. PRICAI Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu, Kento Uchida, Shinichi Shirakawa
2025	—	`conf`	Search Space Selection Using Constrained Mixed-Integer Optimization Method. GECCO Companion Kento Uchida, Yohei Watanabe, Ryoki Hamano, Shinichi Shirakawa
2025	J	`jnl`	Surrogate Benchmarks for Model Merging Optimization. CoRR Rio Akizuki, Yuya Kudo, Nozomu Yoshinari, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, Shinichi Shirakawa
2025	A	`conf`	Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. GECCO Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa
2025	J	`jnl`	Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. Evol. Comput. Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
2025	J	`jnl`	Warm Starting of CMA-ES for Contextual Optimization Problems. CoRR Yuta Sekino, Kento Uchida, Shinichi Shirakawa
2024	B	`conf`	Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. IJCNN Youhei Akimoto, Shinichi Shirakawa
2024	B	`conf`	BINN-DT: Towards Better Interpretability of Multidimensional Decision Rules via Bivariate Nonlinear Node Decision Trees. SMC Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao
2024	—	`conf`	CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. PPSN (2) Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024	J	`jnl`	CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. CoRR Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024	A	`conf`	CMA-ES for Safe Optimization. GECCO Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024	J	`jnl`	CMA-ES for Safe Optimization. CoRR Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa
2024	A	`conf`	CMA-ES with Adaptive Reevaluation for Multiplicative Noise. GECCO Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
2024	J	`jnl`	CMA-ES with Adaptive Reevaluation for Multiplicative Noise. CoRR Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
2024	A	`conf`	CatCMA : Stochastic Optimization for Mixed-Category Problems. GECCO Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
2024	J	`jnl`	CatCMA : Stochastic Optimization for Mixed-Category Problems. CoRR Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa
2024	J	`jnl`	Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. CoRR Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa
2024	—	`conf`	Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck. GLOBECOM (Workshops) Yen-Hsiu Chen, Yoichi Hirose, Shoma Shimizu, Shota Saito, Kento Uchida, Shinichi Shirakawa, Takayuki Nishio
2024	J	`jnl`	HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network. Knowl. Based Syst. Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa
2024	—	`conf`	How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
2024	J	`jnl`	Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization. ACM Trans. Evol. Learn. Optim. Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2024	—	`conf`	Natural Gradient Interpretation of Rank-One Update in CMA-ES. PPSN (2) Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura
2024	J	`jnl`	Natural Gradient Interpretation of Rank-One Update in CMA-ES. CoRR Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura
2024	—	`conf`	Neural Additive and Basis Models with Feature Selection and Interactions. PAKDD (3) Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa
2024	B	`conf`	Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization. IJCNN Masashi Noguchi, Shinichi Shirakawa
2024	J	`jnl`	Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
2024	—	`conf`	Warm Starting of CMA-ES for Contextual Optimization Problems. PPSN (2) Yuta Sekino, Kento Uchida, Shinichi Shirakawa
2023	A	`conf`	(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. GECCO Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2023	J	`jnl`	(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. CoRR Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2023	J	`jnl`	ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
2023	—	`conf`	Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers' Gesture Generation Using English Text-to-Gesture Model. VISIGRAPP (2: HUCAPP) Genki Sakata, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
2023	J	`jnl`	Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization. CoRR Masashi Noguchi, Shinichi Shirakawa
2023	—	`conf`	Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
2022	J	`jnl`	A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	A	`conf`	A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	—	`conf`	Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. ICAART (3) Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao
2022	—	`conf`	Benchmarking CMA-ES with margin on the bbob-mixint testbed. GECCO Companion Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022	J	`jnl`	CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization. CoRR Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022	J	`jnl`	CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization. CoRR Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022	A	`conf`	CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. GECCO Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa
2022	—	`conf`	Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. ICANN (4) Yuhei Noda, Shota Saito, Shinichi Shirakawa
2022	J	`jnl`	Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling. CoRR Yuhei Noda, Shota Saito, Shinichi Shirakawa
2022	J	`jnl`	Evaluation of text-to-gesture generation model using convolutional neural network. Neural Networks Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa
2022	J	`jnl`	Generation of microscopic structure of solder material with desirable characteristics based on deep learning. Knowl. Based Syst. Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa
2022	—	`conf`	Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. SSCI Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
2022	—	`conf`	Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. GLOBECOM (Workshops) Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
2022	J	`jnl`	Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. CoRR Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa
2022	—	`conf`	Reduction of genetic drift in population-based incremental learning via entropy regularization. GECCO Companion Ryoki Hamano, Shinichi Shirakawa
2021	C	`conf`	NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. ACML Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
2021	J	`jnl`	NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. CoRR Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
2021	B	`conf`	Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. SMC Satoshi Arai, Shinichi Shirakawa, Tomoharu Nagao
2020	—	`conf`	Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. PPSN (1) Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa
2020	—	`ch.`	Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming. Deep Neural Evolution Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
2020	J	`jnl`	Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming. Evol. Comput. Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao
2020	J	`jnl`	Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
2020	C	`conf`	Reinforcement Learning-Based Redirection Controller for Efficient Redirected Walking in Virtual Maze Environment. CGI Wataru Shibayama, Shinichi Shirakawa
2019	A*	`conf`	Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019	J	`jnl`	Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019	—	`conf`	Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. ICANN (2) Shota Saito, Shinichi Shirakawa
2019	J	`jnl`	Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. CoRR Shota Saito, Shinichi Shirakawa
2019	—	`conf`	Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. ISVC (2) Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa
2019	—	`conf`	Optimization of H0 Photonic Crystal Nanocavity using Neural Network. OECC/PSC Ryotaro Abe, Taichi Takeda, Ryo Shiratori, Shinichi Shirakawa, Shota Saito, Toshihiko Baba
2018	A*	`conf`	A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. IJCAI Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
2018	A	`conf`	Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
2018	A*	`conf`	Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. AAAI Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
2018	J	`jnl`	Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. CoRR Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
2018	—	`conf`	Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018	B	`conf`	Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network. IVA Dai Hasegawa, Naoshi Kaneko, Shinichi Shirakawa, Hiroshi Sakuta, Kazuhiko Sumi
2018	J	`jnl`	Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. CoRR Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018	J	`jnl`	Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
2017	J	`jnl`	A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. CoRR Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
2017	A	`conf`	A genetic programming approach to designing convolutional neural network architectures. GECCO Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
2017	B	`conf`	Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM. HAI Kenta Takeuchi, Dai Hasegawa, Shinichi Shirakawa, Naoshi Kaneko, Hiroshi Sakuta, Kazuhiko Sumi
2016	J	`jnl`	Bag of local landscape features for fitness landscape analysis. Soft Comput. Shinichi Shirakawa, Tomoharu Nagao
2016	B	`conf`	Hierarchical feature construction for image classification using Genetic Programming. SMC Masanori Suganuma, Daiki Tsuchiya, Shinichi Shirakawa, Tomoharu Nagao
2016	B	`conf`	Impact of invariant objective for order preserving transformation in Bayesian optimization. CEC Shinichi Shirakawa
2015	—	`conf`	Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care. MindCare Yu Kobayashi, Dai Hasegawa, Shinichi Shirakawa, Hiroshi Sakuta, Eijun Nakayama
2015	J	`jnl`	Multiple Binary Codes for Fast Approximate Similarity Search. IEICE Trans. Inf. Syst. Shinichi Shirakawa
2015	A	`conf`	Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
2015	—	`conf`	The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent. HCI (24) Dai Hasegawa, Shinichi Shirakawa, Naoya Shioiri, Toshiki Hanawa, Hiroshi Sakuta, Kouzou Ohara
2014	B	`conf`	Fast Similarity Search Using Multiple Binary Codes. ICPR Shinichi Shirakawa
2014	—	`conf`	Local Landscape Patterns for Fitness Landscape Analysis. SEAL Shinichi Shirakawa, Tomoharu Nagao
2014	A	`conf`	Natural Gradient Approach for Linearly Constrained Continuous Optimization. PPSN Youhei Akimoto, Shinichi Shirakawa
2010	B	`conf`	Automatic construction of image transformation algorithms using feature based genetic image network. IEEE Congress on Evolutionary Computation Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
2010	B	`conf`	Ensemble Image Classification Method Based on Genetic Image Network. EuroGP Shiro Nakayama, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
2010	B	`conf`	Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. IEEE Congress on Evolutionary Computation Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao
2009	B	`conf`	Evolution of Search Algorithms Using Graph Structured Program Evolution. EuroGP Shinichi Shirakawa, Tomoharu Nagao
2009	B	`conf`	Evolutionary image segmentation based on multiobjective clustering. IEEE Congress on Evolutionary Computation Shinichi Shirakawa, Tomoharu Nagao
2009	—	`conf`	Genetic Image Network for Image Classification. EvoWorkshops Shinichi Shirakawa, Shiro Nakayama, Tomoharu Nagao
2009	A	`conf`	Graph structured program evolution with automatically defined nodes. GECCO Shinichi Shirakawa, Tomoharu Nagao
2008	—	`conf`	Evolutionary algorithm considering program size: efficient program evolution using grape. GECCO (Companion) Shinichi Shirakawa, Tomoharu Nagao
2007	B	`conf`	Evolution of sorting algorithm using graph structured program evolution. SMC Shinichi Shirakawa, Tomoharu Nagao
2007	—	`conf`	Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm. ISVC (2) Shinichi Shirakawa, Tomoharu Nagao
2007	A	`conf`	Graph structured program evolution. GECCO Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao