【論文 Recent papers (2019-)】
●Sanaullah, H. Honda, K. Roy, A. Schneider, J. Waßmuth and T. Jungeblut,Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques,2025 22nd International Learning and Technology Conference (L&T), jeddah, Saudi Arabia,
2025, pp. 274-279, doi: 10.1109/LT64002.2025.10941536.
●Phuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura,Understanding Neural ODE prediction decision using SHAP, Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL), PMLR 233 (2024), 53--58.
●T. Nguyen, T. M. Nguyen, H. Honda, T. Sano, V. Nguyen, and S. Nakamura,
From Coupled Oscillators to Graph Neural Networks: Reducing Over-
smoothing via a Kuramoto Model-based Approach, Proc.
AISTATS2024, 2710--2718.
●Honda, H., An application of a PDE-based neural network with Bayesian
optimization to regression, Proc. ICAIIC2024.
DOI:10.1109/ICAIIC60209.2024.10463286
●Honda, H., On Kuramoto-Sakaguchi-type Fokker-Planck equation with delay, NHM, 19 (1) (2024).
DOI:10.3934/nhm.2024001
●Honda, H., Universal approximation property of a continuous neural network based on a nonlinear diffusion equation. Adv Cont Discr Mod 2023, 43 (2023).
DOI:10.1186/s13662-023-03787-z
●(In Japanese) 上野 允照,佐野 崇,本多 泰理,中村 周吾: 自然言語処理技術を用いた詐欺的な暗号資産の検出方法, 人工知能学会論文誌 38, E-N34_1-9 (2023)
DOI:10.1527/tjsai.38-5_E-N34
●Honda, H., Stability Arguments in Molecular Communication Networks, In:Bifurcation Theory and Applications, eds:Terry E. Moschandreou, IntechOpen, Rijeka, 2023.
DOI:10.5772/intechopen.112599
●Honda, H., Sano,T., Nakamura,S., Ueno.M, Hanazawa,H. and Tuan,N.M.D.,
An ODE-based neural network with Bayesian optimization, JSIAM Letters 15 (2023), 101--104.
DOI:10.14495/jsiaml.15.101
●Honda, H. and Tani, A., Small-time Solvability of the Primitive Equations for the Coupled Atmosphere and Ocean Model, Acta Applicandae Mathematicae, 184 (1), (2023).
DOI:10.1007/s10440-023-00555-9
●Honda, H., Phuong Dinh, Pham Thu Thao, Yuho Tabata, and Bui Duc Anh, Dimensionality reduction as a non-cooperative game, Proc. ICAIIC2023. DOI:10.1109/ICAIIC57133.2023.10067075
●Honda, H., Reservoir computing with an inertial form, SIAM Journal on Applied Dynamical Systems 20(2021), 1320--1347.
●Honda, H., A novel framework for reservoir computing with inertial manifolds, Proc. ICAIIC2021.
DOI:10.1109/ICAIIC51459.2021.9415194
●Honda, H., On a partial differential equation based Neural Network, IEICE Comex 10 (2021), 137--143.
●Honda, H., On continuous limit of neural network, Proc. NOLTA2020.
●Honda, H. The sensitivity of a quantum PageRank. Japan J. Indust. Appl. Math. 37, 621–656 (2020).
DOI:10.1007/s13160-020-00410-6
●Honda,H., IMPROVING RESULTS FOR CUT AND OPERATOR NORMS ON GRAPHON,IJAM 33(2020),321--330.
●Honda,H., Reservoir computing with inertial manifold, Proc. ICAIIC2020.
●Honda,H. and Saito, H., Nation-Wide Disaster Avoidance Control Against Heavy Rain, IEEE/ACM Transactions on Networking 27(2019), 1084--1097.
●Honda,H.,On a model of target detection in molecular communication networks, NHM 14(2019),633--657.
