| Statistical-mechanical analysis of compressed sensing for Hamiltonian estimation of Ising spin glass C Takahashi, M Ohzeki, S Okada, M Terabe, S Taguchi, K Tanaka Journal of the Physical Society of Japan 87 (7), 074001, 2018 | 15 | 2018 |
| Quantum annealing: next-generation computation and how to implement it when information is missing M Ohzeki, C Takahashi, S Okada, M Terabe, S Taguchi, K Tanaka Nonlinear Theory and Its Applications, IEICE 9 (4), 392-405, 2018 | 13 | 2018 |
| Mean-Field Inference in Gaussian Restricted Boltzmann Machine C Takahashi, M Yasuda Journal of the Physical Society of Japan 85 (3), 034001, 2016 | 12 | 2016 |
| Free energy evaluation using marginalized annealed importance sampling M Yasuda, C Takahashi Physical Review E 106 (2), 024127, 2022 | 6 | 2022 |
| Quasi-free energy evaluation of Gaussian-Bernoulli restricted Boltzmann machine for anomaly detection K Sekimoto, C Takahashi, M Yasuda Nonlinear Theory and Its Applications, IEICE 15 (2), 273-283, 2024 | 2 | 2024 |
| Quasi-free energy evaluation of restricted boltzmann machine for anomaly detection S Kaiji, T Chako, Y Muneki IEICE Proceedings Series 76 (A3L-44), 2023 | 2 | 2023 |
| Perturbative Interpretation of Adaptive Thouless-Anderson-Palmer Free Energy M Yasuda, C Takahashi, K Tanaka Journal of the Physical Society of Japan 85 (7), 075001, 2016 | 2 | 2016 |
| Adaptive Thouless–Anderson–Palmer Equation for Higher-order Markov Random Fields C Takahashi, M Yasuda, K Tanaka Journal of the Physical Society of Japan 89 (6), 064007, 2020 | 1 | 2020 |
| Dataset-Free Weight-Initialization on Restricted Boltzmann Machine M Yasuda, R Maeno, C Takahashi arXiv preprint arXiv:2409.07708, 2024 | | 2024 |
| Deep learning model for predicting the spatial distribution of binding energy from atomic configurations S Saito, S Sato, H Nakamura, C Takahashi, K Sawada, K Hoshino, ... Japanese Journal of Applied Physics 63 (9), 09SP03, 2024 | | 2024 |
| Pool-Based Active Classification Based on Expected Error Reduction with Uncertainty Subsampling C Takahashi, T Sato Asia Simulation Conference, 244-255, 2024 | | 2024 |
| Backdoor Attacks on Graph Neural Networks Trained with Data Augmentation S Yashiki, C Takahashi, K Suzuki IEICE Transactions on Fundamentals of Electronics, Communications and …, 2024 | | 2024 |
| Steganography for Graphs using Graph Spectrum K Kawaguchi, K Toyonaga, C Takahashi, T Nakai, K Suzuki IEICE Technical Report; IEICE Tech. Rep. 122 (428), 305-312, 2023 | | 2023 |
| Backdoor poisoning attacks against few-shot classifiers based on meta-learning G Kato, C Takahashi, K Suzuki Nonlinear Theory and Its Applications, IEICE 14 (2), 491-499, 2023 | | 2023 |
| Backdoor Poisoning Attacks on Meta-Learning-Based Few-Shot Classifiers G Kato, C Takahashi, K Suzuki IEICE Proceedings Series 71 (A3L-B-02), 2022 | | 2022 |
| Targeted Universal Adversarial Examples via Single Node Injection on Graph Convolutional Networks S Yashiki, C Takahashi, K Suzuki 2021 8th International Conference on Advanced Informatics: Concepts, Theory …, 2021 | | 2021 |
Muneki YasudaGraduate School of Science and Engineering, Yamagata University確認したメール アドレス: yz.yamagata-u.ac.jp
