Shuhei Watanabe

According to our database, Shuhei Watanabe authored at least 27 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Layered Modeling of Affective, Perception, and Visual Properties: Optimizing Structure With Genetic Algorithm.

Shuhei Watanabe, Takahiko Horiuchi

IEEE Trans. Hum. Mach. Syst., October, 2024

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation.

Shusuke Shigenaka, Shunki Takami, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi

J. Comput. Soc. Sci., October, 2024

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks.

Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter

CoRR, 2024

LLM-Based Structuring of Oral Discussion in Workshop to Support Collaboration Among Local Government and Simulated Citizens.

Gen Sato, Shun Shiramatsu, Mizuki Hoshino, Shuhei Watanabe, Yu Haibo, Takeshi Mizumoto

Proceedings of the Collaboration Technologies and Social Computing, 2024

2023

Python Wrapper for Simulating Multi-Fidelity Optimization on HPO Benchmarks without Any Wait.

Shuhei Watanabe

CoRR, 2023

Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs.

Shuhei Watanabe

CoRR, 2023

Tree-structured Parzen estimator: Understanding its algorithm components and their roles for better empirical performance.

Shuhei Watanabe

CoRR, 2023

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization.

Shuhei Watanabe, Frank Hutter

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces.

Shuhei Watanabe, Archit Bansal, Frank Hutter

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator.

Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Multiobjective Tree-Structured Parzen Estimator.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi

J. Artif. Intell. Res., 2022

Multi-objective Tree-structured Parzen Estimator Meets Meta-learning.

Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter

CoRR, 2022

c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization.

Shuhei Watanabe, Frank Hutter

CoRR, 2022

Layered Perceptual Modeling Using Structural Equation Modeling: Exploring Structure with Genetic Algorithm.

Shuhei Watanabe, Takahiko Horiuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

Image-based Perceptual Editing: Leather "Authenticity" as a Case Study.

Shuhei Watanabe, Takahiko Horiuchi

Proceedings of the Material Appearance 2021, online, January 11-28, 2021, 2021

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation.

Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Warm Starting CMA-ES for Hyperparameter Optimization.

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Difference in Impression between Genuine and Artificial Leather: Quantifying the Feeling of Authenticity.

Shuhei Watanabe, Shoji Tominaga, Takahiko Horiuchi

J. Percept. Imaging, 2020

Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning.

Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

One-shot Multi-angle Measurement Device for Evaluating the Sparkle Impression.

Shuhei Watanabe

Proceedings of the Material Appearance 2020, Burlingame, CA, USA, January 26-30, 2020, 2020

Hierarchical Model of "Feeling of Luxury: " Genuine and Artificial Leather Case Study.

Shuhei Watanabe, Takahiko Horiuchi

Proceedings of the Advances in Industrial Design, 2020

2019

Evaluation of Sparkle Impression Considering Observation Distance.

Shuhei Watanabe, Takuroh Sone

Proceedings of the Material Appearance 2019, Burlingame, CA, USA, January 13-17, 2019, 2019

Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution.

Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2017

Measurement and Evaluation Method of Orange Peel.

Takuroh Sone, Shuhei Watanabe

Proceedings of the Material Appearance 2017, Burlingame, CA, USA, January 29, 2017

2002

Labeling Points with Rectangles of Various Shapes.

Atsushi Koike, Shin-Ichi Nakano, Takao Nishizeki, Takeshi Tokuyama, Shuhei Watanabe

Int. J. Comput. Geom. Appl., 2002

2000

Labeling Points with Rectangles of Various Shapes.

Shin-Ichi Nakano, Takao Nishizeki, Takeshi Tokuyama, Shuhei Watanabe

Proceedings of the Graph Drawing, 8th International Symposium, 2000