| A simple neural attentive meta-learner N Mishra, M Rohaninejad, X Chen, P Abbeel arXiv preprint arXiv:1707.03141, 2017 | 1549 | 2017 |
| Pixelsnail: An improved autoregressive generative model X Chen, N Mishra, M Rohaninejad, P Abbeel International conference on machine learning, 864-872, 2018 | 283 | 2018 |
| Meta-learning with temporal convolutions N Mishra, M Rohaninejad, X Chen, P Abbeel arXiv preprint arXiv:1707.03141 2 (7), 23, 2017 | 160 | 2017 |
| Prediction and control with temporal segment models N Mishra, P Abbeel, I Mordatch International conference on machine learning, 2459-2468, 2017 | 71 | 2017 |
| Combining model-based policy search with online model learning for control of physical humanoids I Mordatch, N Mishra, C Eppner, P Abbeel 2016 IEEE international conference on robotics and automation (ICRA), 242-248, 2016 | 69 | 2016 |
| Systems and methods for robotic picking Y Duan, X Chen, M Rohaninejad, N Mishra, YX Liu, AA Vaziri, T Haoran, ... US Patent App. 17/014,545, 2021 | 11 | 2021 |
| Monte Carlo modeling of light propagation in the human head for applications in sinus imaging AE Cerussi, N Mishra, J You, N Bhandarkar, B Wong Journal of biomedical optics 20 (3), 035004-035004, 2015 | 7 | 2015 |
| Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction YX Liu, N Mishra, M Sieb, Y Shentu, P Abbeel, X Chen European Conference on Computer Vision, 673-694, 2022 | 5 | 2022 |
| Trajectory optimization using neural networks T Haoran, X Chen, Y Duan, N Mishra, S Wu, M Sieb, Y Shentu US Patent App. 17/193,820, 2021 | 5 | 2021 |
| Trajectory optimization using neural networks T Haoran, X Chen, Y Duan, N Mishra, S Wu, M Sieb, Y Shentu US Patent 12,049,010, 2024 | 3 | 2024 |
| Training artificial networks for robotic picking Y Duan, T Haoran, Y Shentu, N Mishra, X Chen US Patent 11,911,901, 2024 | 3 | 2024 |
| Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects N Mishra, P Abbeel, X Chen, M Sieb 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN YX Liu, N Mishra, P Abbeel, X Chen 2023 IEEE International Conference on Robotics and Automation (ICRA), 7069-7075, 2023 | 2 | 2023 |
| Confidence-Based Bounding Boxes For Three Dimensional Objects Y Liu, X Chen, N Mishra US Patent App. 17/161,297, 2021 | 2 | 2021 |
| Identifying scene correspondences with neural networks M Sieb, N Mishra, R Duan US Patent App. 17/161,399, 2021 | 1 | 2021 |
| Confidence-based segmentation of multiple units Y Liu, X Chen, N Mishra US Patent App. 17/161,344, 2021 | 1 | 2021 |
| Determine depth with pixel-to-pixel image correspondence for three-dimensional computer vision M Rohaninejad, N Mishra, YX Liu, Y Duan, AA Vaziri, X Chen US Patent 12,059,813, 2024 | | 2024 |
| Training artificial networks for robotic picking Y Duan, T Haoran, Y Shentu, N Mishra, X Chen US Patent App. 18/416,283, 2024 | | 2024 |
| Object-Centric Perception for Real-World Robotics N Mishra | | 2024 |
| Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs N Mishra, M Sieb, P Abbeel, X Chen arXiv preprint arXiv:2403.04114, 2024 | | 2024 |
