A Method of Traffic Shaping Using H8s Filtering. - Hirotada Honda (SAINT, 2006)

Modeling Urban ITS Communication via Stochastic Geometry Approach. - Tatsuaki Kimura; Hiroshi Saito; Hirotada Honda; Ryoichi Kawahara (VTC Fall, 2016)

Mathematical analysis of neuronal firing in visual cortex. - Hirotada Honda (JSIAM Lett., 2016)

Disaster avoidance control against heavy rainfall. - Hiroshi Saito; Hirotada Honda; Ryoichi Kawahara (INFOCOM, 2017)

Optimal transmission range for V2I communications on congested highways. - Tatsuaki Kimura; Hiroshi Saito; Hirotada Honda (PIMRC, 2017)

Geometric Analysis of Observability of Target Object Shape Using Location-Unknown Distance Sensors. - Hiroshi Saito; Hirotada Honda (CoRR, 2017)

Global-in-time solution and stability of Kuramoto-Sakaguchi equation under non-local Coupling. - Hirotada Honda (Networks Heterog. Media, 2017)

Sensitivity of quantum PageRank. - Hirotada Honda (CoRR, 2019)

On a model of target detection in molecular communication networks. - Hirotada Honda (Networks Heterog. Media, 2019)

Geometric Analysis of Estimability of Target Object Shape Using Location-Unknown Distance Sensors. - Hiroshi Saito; Hirotada Honda (IEEE Trans. Control. Netw. Syst., 2019)

Nation-Wide Disaster Avoidance Control Against Heavy Rain. - Hirotada Honda; Hiroshi Saito (IEEE/ACM Trans. Netw., 2019)

Reservoir computing with inertial manifold. - Hirotada Honda (ICAIIC, 2020)

A novel framework for reservoir computing with inertial manifolds. - Hirotada Honda (ICAIIC, 2021)

Reservoir Computing with an Inertial Form. - Hirotada Honda (SIAM J. Appl. Dyn. Syst., 2021)

Dimensionality reduction as a non-cooperative game. - Hirotada Honda; Phuong Dinh; Pham Thu Thao; Yuho Tabata; Bui Duc Anh (ICAIIC, 2023)

An ODE-based neural network with Bayesian optimization. - Hirotada Honda; Takashi Sano 002; Shugo Nakamura; Mitsuaki Ueno; Hiroki Hanazawa; Nguyen Manh Duc Tuan (JSIAM Lett., 2023)

From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. - Tuan Nguyen; Hirotada Honda; Takashi Sano 002; Vinh Nguyen; Shugo Nakamura; Tan Minh Nguyen (AISTATS, 2024)

An Application of a PDE-Based Neural Network with Bayesian Optimization to Regression. - Hirotada Honda (ICAIIC, 2024)

Understanding Neural ODE prediction decision using SHAP. - Phuong Dinh; Deddy Jobson; Takashi Sano 002; Hirotada Honda; Shugo Nakamura (NLDL, 2024)

Investigation of Frame Differences as Motion Cues for Video Object Segmentation. - Sota Kawamura; Hirotada Honda; Shugo Nakamura; Takashi Sano 002 (CoRR, 2025)