| Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning M Nakamoto, S Zhai, A Singh, M Sobol Mark, Y Ma, C Finn, A Kumar, ... Advances in Neural Information Processing Systems 36, 2024 | 50 | 2024 |
| Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials A Kumar, A Singh, F Ebert, M Nakamoto, Y Yang, C Finn, S Levine arXiv preprint arXiv:2210.05178, 2022 | 38 | 2022 |
| Deep learning model to detect significant aortic regurgitation using electrocardiography S Sawano, S Kodera, S Katsushika, M Nakamoto, K Ninomiya, ... Journal of cardiology 79 (3), 334-341, 2022 | 21 | 2022 |
| Deep learning algorithm to detect cardiac sarcoidosis from echocardiographic movies S Katsushika, S Kodera, M Nakamoto, K Ninomiya, N Kakuda, ... Circulation Journal 86 (1), 87-95, 2021 | 19 | 2021 |
| Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries H Shinohara, S Kodera, K Ninomiya, M Nakamoto, S Katsushika, A Saito, ... Plos one 16 (8), e0255577, 2021 | 18 | 2021 |
| Zero-shot robotic manipulation with pretrained image-editing diffusion models K Black, M Nakamoto, P Atreya, H Walke, C Finn, A Kumar, S Levine arXiv preprint arXiv:2310.10639, 2023 | 17 | 2023 |
| The effectiveness of a deep learning model to detect left ventricular systolic dysfunction from electrocardiograms S Katsushika, S Kodera, M Nakamoto, K Ninomiya, S Inoue, S Sawano, ... International Heart Journal 62 (6), 1332-1341, 2021 | 13 | 2021 |
| Automatic detection of left ventricular dilatation and hypertrophy from electrocardiograms using deep learning T Kokubo, S Kodera, S Sawano, S Katsushika, M Nakamoto, H Takeuchi, ... International Heart Journal 63 (5), 939-947, 2022 | 8 | 2022 |
| Self-Supervised Contrastive Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction Mitsuhiko Nakamoto, Satoshi Kodera, Hirotoshi Takeuchi, Shinnosuke Sawano ... NeurIPS 2021 Workshop on Medical Imaging Meets NeurIPS, 2021 | 4* | 2021 |
| A GAN Based Approach to Lip-Sync 2D Cartoon Animations without Requiring Raw Cartoon Datasets Mitsuhiko Nakamoto, Xueting Wang, Toshihiko Yamasaki The Eleventh International Workshop on Image Media Quality and its …, 2022 | | 2022 |
| A GAN Based Approach to Lip-Sync 2D Cartoon Animations without Requiring Raw Cartoon Dataset M Nakamoto, X Wang, T Yamasaki | | 2021 |
| Unsupervised Reinforcement Learning for Partially Observable Environments Using External Memory Mitsuhiko Nakamoto, Yoshimasa Tsuruoka NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, 2021 | | 2021 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
