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 | 18 | 2021 |
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 | 7 | 2020 |
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 | 5 | 1902 |
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 | 4 | 2021 |
Spurious reconstruction from brain activity K Shirakawa, Y Nagano, M Tanaka, SC Aoki, K Majima, Y Muraki, ... arXiv preprint arXiv:2405.10078, 2024 | 1 | 2024 |
Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure Y Nagano, R Karakida, M Okada Scientific Reports 10 (1), 16001, 2020 | 1 | 2020 |
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 | 1 | 2016 |
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 |