Follow
Yoshihiro Nagano
Title
Cited by
Cited by
Year
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
Y Nagano, S Yamaguchi, Y Fujita, M Koyama
ICML2019, 2019
129*2019
On the surrogate gap between contrastive and supervised losses
H Bao, Y Nagano, K Nozawa
International Conference on Machine Learning, 1585-1606, 2022
24*2022
Statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks
H Asanuma, S Takagi, Y Nagano, Y Yoshida, Y Igarashi, M Okada
Journal of the Physical Society of Japan 90 (10), 104001, 2021
182021
Normal mode analysis of a relaxation process with Bayesian inference
I Sakata, Y Nagano, Y Igarashi, S Murata, K Mizoguchi, I Akai, M Okada
Science and Technology of Advanced Materials 21 (1), 67-78, 2020
72020
A wrapped normal distribution on hyperbolic space for gradient-based learning, 2019
Y Nagano, S Yamaguchi, Y Fujita, M Koyama
URL https://arxiv. org/abs, 1902
51902
Complex energies of the coherent longitudinal optical phonon–plasmon coupled mode according to dynamic mode decomposition analysis
I Sakata, T Sakata, K Mizoguchi, S Tanaka, G Oohata, I Akai, Y Igarashi, ...
Scientific Reports 11 (1), 23169, 2021
42021
Spurious reconstruction from brain activity
K Shirakawa, Y Nagano, M Tanaka, SC Aoki, K Majima, Y Muraki, ...
arXiv preprint arXiv:2405.10078, 2024
12024
Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure
Y Nagano, R Karakida, M Okada
Scientific Reports 10 (1), 16001, 2020
12020
Input response of neural network model with lognormally distributed synaptic weights
Y Nagano, R Karakida, N Watanabe, A Aoyama, M Okada
Journal of the Physical Society of Japan 85 (7), 074001, 2016
12016
Spurious reconstruction from brain activity: The thin line between reconstruction, classification, and hallucination
K Shirakawa, Y Nagano, M Tanaka, SC Aoki, K Majima, Y Muraki, ...
Journal of Vision 24 (10), 321-321, 2024
2024
Transforming method, training device, and inference device
Y Nagano, S Yamaguchi
US Patent App. 17/444,301, 2021
2021
Analysis of Trainability of Gradient-based Multi-environment Learning from Gradient Norm Regularization Perspective
S Takagi, Y Nagano, Y Yoshida, M Okada
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
2021
Sparse STC estimation of suppressive elements for neurons in primary visual cortex
R Tanaka, K Sasaki, H Sakamoto, Y Nagano, Y Yue, M Okada, I Ohzawa
IEICE Technical Report; IEICE Tech. Rep. 119 (453), 155-159, 2020
2020
2019 年度時限研究会実施報告 脳科学若手の会第 11 回合宿 「若手研究者に向けたレクチャー & ワークショップ合宿~ 神経活動が機能を生むメカニズムの探求, 理論の実践と応用~」
川端政則, 小山雄太郎, 坂本嵩, 佐藤元重, 佐藤由宇, 高木志郎, ...
日本神経回路学会誌 26 (3), 105-109, 2019
2019
動的モード分解と Bayesian LARS-OLS によるコヒーレントフォノンの固有振動モード選択
坂田逸志, 長野祥大, 五十嵐康彦, 村田伸, 溝口幸司, 赤井一郎, ...
日本物理学会講演概要集 74.1, 1487-1487, 2019
2019
ベイズ的スペクトル分解を用いた V1 複雑型細胞の受容野推定
高尾俊輔, 坂本浩隆, 長野祥大, 楽詠灝, 佐々木耕太, 大澤五住, ...
日本物理学会講演概要集 74.1, 2853-2853, 2019
2019
レプリカ交換モンテカルロ法による確率分布推定に基づいた位相アンラッピング
薬袋洸慈, 長野祥大, 五十嵐康彦, 中嶋恭久, 成瀬康, 岡田真人
日本物理学会講演概要集 74.1, 2714-2714, 2019
2019
Bayesian LARS-OLS によるコヒーレントフォノンの固有振動モード選択
坂田逸志, 長野祥大, 五十嵐康彦, 村田伸, 溝口幸司, 赤井一郎, ...
電子情報通信学会技術研究報告; 信学技報 118 (284), 255-262, 2018
2018
Normal mode selection of coherent phonons by Bayesian LARS-OLS
I Sakata, Y Nagano, Y Igarashi, S Murata, K Mizoguchi, I Akai, M Okada
IEICE Technical Report; IEICE Tech. Rep. 118 (284), 255-262, 2018
2018
2018 年度時限研究会実施報告 脳科学若手の会第 10 回合宿 「若手脳研究者に向けたレクチャー & ワークショップ合宿~ 脳と人工知能の情報表現, データ解析からモデル構築まで~」
赤尾旭彦, 川端政則, 小山雄太郎, 長野祥大, 速水琢, 三須宏武, ...
日本神経回路学会誌 25 (2), 38-42, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20