Naoki Hamada

31 papers A* 4A 4B 4Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterization of Sub-THz-Band MIMO Spatial Multiplexing in Indoor Environments.
IEICE Trans. Commun.
Naoki Hamada, Toshihiko Nishimura, Yasutaka Ogawa, Satoshi Suyama, Takeo Ohgane
2025 J jnl
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
Trans. Mach. Learn. Res.
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada
2025 A conf
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization.
AISTATS
Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada
2025 — conf
Towards Benchmarking Multi-Objective Optimization Algorithms Based on the Basin Connectivity.
GECCO Companion
Ryosuke Ota, Likun Liu, Naoki Hamada, Takahiro Yamamoto, Shoichiro Tanaka, Daisuke Sakurai
2024 — conf
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity.
GECCO Companion
Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai
2023 A* conf
GenéLive! Generating Rhythm Actions in Love Live!
AAAI
Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai
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 J jnl
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
CoRR
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada
2022 J jnl
Free Disposal Hull Condition to Verify When Efficiency Coincides with Weak Efficiency.
J. Optim. Theory Appl.
Naoki Hamada, Shunsuke Ichiki
2022 J jnl
GenéLive! Generating Rhythm Actions in Love Live!
CoRR
Atsushi Takada, Daichi Yamazaki, Likun Liu, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Taiga Yamamoto, Daisuke Sakurai, Naoki Hamada
2021 J jnl
All unconstrained strongly convex problems are weakly simplicial.
CoRR
Yusuke Mizota, Naoki Hamada, Shunsuke Ichiki
2021 J jnl
Approximate Bayesian Computation of Bézier Simplices.
CoRR
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2021 J jnl
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization.
CoRR
Reiya Hagiwara, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai
2020 A* conf
Asymptotic Risk of Bézier Simplex Fitting.
AAAI
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2020 J jnl
Topology of Pareto Sets of Strongly Convex Problems.
SIAM J. Optim.
Naoki Hamada, Kenta Hayano, Shunsuke Ichiki, Yutaro Kabata, Hiroshi Teramoto
2019 J jnl
Asymptotic Risk of Bezier Simplex Fitting.
CoRR
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2019 A* conf
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.
AAAI
Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama
2019 — conf
Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design.
GECCO (Companion)
Yukito Tsunoda, Takahiro Notsu, Yasufumi Sakai, Naoki Hamada, Toshihiko Mori, Teruo Ishihara, Atsuki Inoue
2018 J jnl
Data-Driven Analysis of Pareto Set Topology.
CoRR
Naoki Hamada, Keisuke Goto
2018 A conf
Data-driven analysis of pareto set topology.
GECCO
Naoki Hamada, Keisuke Goto
2017 B conf
Knee point analysis of many-objective Pareto fronts based on Reeb graph.
CEC
Naoki Hamada, Kazuhisa Chiba
2017 J jnl
Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts.
CoRR
Naoki Hamada
2017 — conf
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts.
GECCO (Companion)
Naoki Hamada
2015 A* conf
Population Synthesis via k-Nearest Neighbor Crossover Kernel.
ICDM
Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi
2015 J jnl
Population Synthesis via k-Nearest Neighbor Crossover Kernel.
CoRR
Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi
2012 — conf
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization.
SCIS&ISIS
Ryo Miyazaki, Naoki Hamada, Yuichi Nagata, Isao Ono
2011 B conf
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011 B conf
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2010 B conf
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2008 A conf
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA.
PPSN
Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono