Program / GS-16: Machine Learning & Neural Network Theory

GS-16: Machine Learning & Neural Network Theory

November 03 (Tuesday) · 16:20–18:20 · Room A

Chair: Hiroyuki Masuta (Toyama Prefectural University)

16:20–16:40Paper ID: 58Full paper

Covariate-Shift Adaptation with Limited Site-Level Data for Reinforcement Level Determination in Large-Scale Structures

Hijiri Kawai (The University of Osaka)*; Keiji Tatsumi (Otemon Gakuin University); Yeboon Yun (Kansai University); Masaki Kanzaki (The University of Osaka)

16:40–17:00Paper ID: 67Full paper

Memory-Retrieval Dynamics in Hopfield Networks with Nonlinear Energy Functions

Yuki Honda (Mie University)*; Shirai Nobu C. (Mie University); Kento Morita (Mie University); Tetsushi Wakabayashi (Mie University)

17:00–17:20Paper ID: 164Full paper

MLP Sharing for Parameter Efficient Kolmogorov-Arnold Networks via Node-wise Embedding

Yoshiki Kagohara (Nihon University)*; Yukari Yamauchi (Nihon University)

17:20–17:40Paper ID: 198Full paper

Star-Topology Quantum Convolutional Neural Networks for Side-Channel-Based Disassembly

Seungun Park (Dongguk University); Hyunsu Kim (Dongguk University); Yunsik Son (Dongguk University)*

17:40–17:55Paper ID: 72Late Breaking

Task Collapse in Meta-Generative Models: One-Sided vs. Bidirectional KL Minimization

Daichi Yoshikane (Kyushu Institute of Technology)*; Hideaki Ishibashi (Kyushu Institute of Technology); Tetsuo Furukawa (Kyushu Institute of Technology); Shotaro Koike (Kyushu Institute of Technology)

Presentations finish at 17:55. The scheduled session ends at 18:20.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.