| Neural edit operations for biological sequences S Koide, K Kawano, T Kutsuna Advances in Neural Information Processing Systems 31, 2018 | 15 | 2018 |
| Seq2seq fingerprint with byte-pair encoding for predicting changes in protein stability upon single point mutation K Kawano, S Koide, C Imamura IEEE/ACM transactions on computational biology and bioinformatics 17 (5 …, 2019 | 12 | 2019 |
| Flow-based image-to-image translation with feature disentanglement R Kondo, K Kawano, S Koide, T Kutsuna Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
| Learning wasserstein isometric embedding for point clouds K Kawano, S Koide, T Kutsuna 2020 International Conference on 3D Vision (3DV), 473-482, 2020 | 9 | 2020 |
| Neural time warping for multiple sequence alignment K Kawano, T Kutsuna, S Koide ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Plg-in: Pluggable geometric consistency loss with wasserstein distance in monocular depth estimation N Hirose, S Koide, K Kawano, R Kondo 2021 IEEE International Conference on Robotics and Automation (ICRA), 12868 …, 2021 | 7 | 2021 |
| Partial wasserstein covering K Kawano, S Koide, K Otaki Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7115-7123, 2022 | 5 | 2022 |
| Canonical soft time warping K Kawano, S Koide, T Kutsuna Asian Conference on Machine Learning, 551-566, 2019 | 5 | 2019 |
| Variational monocular depth estimation for reliability prediction N Hirose, S Taguchi, K Kawano, S Koide 2021 International Conference on 3D Vision (3DV), 637-647, 2021 | 3 | 2021 |
| Artificial-intelligence-assisted mass fabrication of nanocantilevers from randomly positioned single carbon nanotubes Y Tadokoro, K Funayama, K Kawano, A Miura, J Hirotani, Y Ohno, ... Microsystems & Nanoengineering 9 (1), 32, 2023 | 2 | 2023 |
| Causal patterns: Extraction of multiple causal relationships by mixture of probabilistic partial canonical correlation analysis H Mori, K Kawano, H Yokoyama 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 2 | 2017 |
| Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs R Tokuhisa, K Kawano, A Nakamura, S Koide Proceedings of the 29th International Conference on Computational …, 2022 | 1 | 2022 |
| RoboCup 2013: Best Humanoid Award Winner JoiTech Y Oshima, D Hirose, S Toyoyama, K Kawano, S Qin, T Suzuki, K Shibata, ... RoboCup 2013: Robot World Cup XVII 17, 68-79, 2014 | 1 | 2014 |
| Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs K KAWANO, S KOIDE, H SHIOKAWA, T AMAGASA IEICE TRANSACTIONS on Information and Systems 107 (5), 683-693, 2024 | | 2024 |
| Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Y Esaki, A Nakamura, K Kawano, R Tokuhisa, T Kutsuna arXiv preprint arXiv:2402.13765, 2024 | | 2024 |
| How many views does your deep neural network use for prediction? K Kawano, T Kutsuna, K Sano arXiv preprint arXiv:2402.01095, 2024 | | 2024 |
| StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space K Kawano, T Kutsuna, R Tokuhisa, A Nakamura, Y Esaki Image and Vision Computing 138, 104808, 2023 | | 2023 |
| 最適輸送距離に基づく未知パターン抽出 河野圭祐 人工知能学会研究会資料 人工知能基本問題研究会 122 回 (2022/11), 01, 2022 | | 2022 |
| グラフ編集距離に基づく部分グラフ探索 小出智士, 河野圭祐, 塩川浩昭, 天笠俊之 第14回データ工学と情報マネジメントに関するフォーラム (DEIM 2022), 2022 | | 2022 |
| 結晶構造を対象としたグラフニューラルネットワークにおけるグラフ識別性能の限界 河野圭祐, 小出智士, 塩川浩昭, 天笠俊之 第14回データ工学と情報マネジメントに関するフォーラム (DEIM 2022), 2022 | | 2022 |
Satoshi KOIDEToyota Central R&D LabVerified email at mosk.tytlabs.co.jp
