| Modular representation of layered neural networks C Watanabe, K Hiramatsu, K Kashino Neural Networks 97, 62-73, 2018 | 73 | 2018 |
| Understanding community structure in layered neural networks C Watanabe, K Hiramatsu, K Kashino Neurocomputing 367, 84-102, 2019 | 27 | 2019 |
| Interpreting Layered Neural Networks via Hierarchical Modular Representation C Watanabe 26th International Conference on Neural Information Processing of the Asia …, 2019 | 17 | 2019 |
| Recursive extraction of modular structure from layered neural networks using variational Bayes method C Watanabe, K Hiramatsu, K Kashino Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017 | 8 | 2017 |
| Modular representation of autoencoder networks C Watanabe, K Hiramatsu, K Kashino 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 7 | 2017 |
| Deep two-way matrix reordering for relational data analysis C Watanabe, T Suzuki Neural Networks 146, 303-315, 2022 | 6 | 2022 |
| Goodness-of-fit Test for Latent Block Models C Watanabe, T Suzuki Computational Statistics & Data Analysis 154, 107090, 2021 | 3 | 2021 |
| Knowledge Discovery from Layered Neural Networks Based on Non-negative Task Matrix Decomposition C WATANABE, K HIRAMATSU, K KASHINO IEICE TRANSACTIONS on Information and Systems 103 (2), 390-397, 2020 | 3* | 2020 |
| AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network C Watanabe, T Suzuki 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-10, 2021 | 2 | 2021 |
| Selective inference for latent block models C Watanabe, T Suzuki Electronic Journal of Statistics 15 (1), 3137-3183, 2021 | 2 | 2021 |
| Attentionpit: Soft Permutation Invariant Training for Audio Source Separation with Attention Mechanism H Kameoka, S Seki, L Li, C Watanabe ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| A goodness-of-fit test on the number of biclusters in a relational data matrix C Watanabe, T Suzuki Annals of the Institute of Statistical Mathematics 75 (6), 979-1009, 2023 | | 2023 |
| DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion C Watanabe, H Kameoka 2023 Asia Pacific Signal and Information Processing Association Annual …, 2023 | | 2023 |
| Analyzing device, method, and program C Watanabe, K Hiramatsu, K Kashino US Patent App. 16/980,380, 2021 | | 2021 |
| Analysis device, method, and program C Watanabe, K Hiramatsu, K Kashino US Patent App. 17/051,734, 2021 | | 2021 |
| X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates C Watanabe, H Kameoka Neural Computation 33 (7), 1853-1885, 2021 | | 2021 |
| Infinite graphs with finite diameters C Watanabe, M Nakano, X Wu, T Kawanishi, K Hiramatsu, K Kashino IEICE Technical Report; IEICE Tech. Rep. 116 (300), 221-228, 2016 | | 2016 |
Kunio KashinoFellow, NTT CorporationVerified email at ieee.org
