| Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation Z Liu, H Tang, A Amini, X Yang, H Mao, DL Rus, S Han 2023 IEEE international conference on robotics and automation (ICRA), 2774-2781, 2023 | 921 | 2023 |
| Deep evidential regression A Amini, W Schwarting, A Soleimany, D Rus Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 538 | 2020 |
| Uncovering and mitigating algorithmic bias through learned latent structure A Amini*, A Soleimany*, W Schwarting, S Bhatia, D Rus AAAI/ACM Conf. on AI Ethics and Society (AIES), 2019 | 274 | 2019 |
| Liquid Time-constant Networks R Hasani*, M Lechner*, A Amini, D Rus, R Grosu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 35 (9), 2021 | 269 | 2021 |
| Neural circuit policies enabling auditable autonomy M Lechner*, R Hasani*, A Amini, TA Henzinger, D Rus, R Grosu Nature Machine Intelligence 2 (10), 642-652, 2020 | 249 | 2020 |
| Learning robust control policies for end-to-end autonomous driving from data-driven simulation A Amini, I Gilitschenski, J Phillips, J Moseyko, R Banerjee, S Karaman, ... IEEE Robotics and Automation Letters 5 (2), 1143-1150, 2020 | 248 | 2020 |
| Variational end-to-end navigation and localization A Amini, G Rosman, S Karaman, D Rus IEEE International Conference on Robotics and Automation (ICRA), 8958-8964, 2019 | 174 | 2019 |
| Evidential deep learning for guided molecular property prediction and discovery AP Soleimany*, A Amini*, S Goldman*, D Rus, SN Bhatia, CW Coley ACS Central Science, 2021 | 166 | 2021 |
| The impact of social segregation on human mobility in developing and industrialized regions A Amini, K Kung, C Kang, S Sobolevsky, C Ratti EPJ Data Science 3, 1-20, 2014 | 154 | 2014 |
| Closed-form continuous-time neural networks R Hasani*, M Lechner*, A Amini, L Liebenwein, A Ray, M Tschaikowski, ... Nature Machine Intelligence, 1-12, 2022 | 117* | 2022 |
| Liquid structural state-space models R Hasani, M Lechner, TH Wang, M Chahine, A Amini, D Rus International Conference on Learning Representations (ICLR), 2023 | 107 | 2023 |
| Variational autoencoder for end-to-end control of autonomous driving with novelty detection and training de-biasing A Amini, W Schwarting, G Rosman, B Araki, S Karaman, D Rus 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 104 | 2018 |
| Efficient Dataset Distillation Using Random Feature Approximation N Loo, R Hasani, A Amini, D Rus Advances in Neural Information Processing Systems (NeurIPS), 2022 | 98 | 2022 |
| VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles A Amini*, TH Wang*, I Gilitschenski, W Schwarting, Z Liu, S Han, ... IEEE International Conference on Robotics and Automation (ICRA), 2022 | 97 | 2022 |
| Barriernet: Differentiable control barrier functions for learning of safe robot control W Xiao, TH Wang, R Hasani, M Chahine, A Amini, X Li, D Rus IEEE Transactions on Robotics 39 (3), 2289-2307, 2023 | 90 | 2023 |
| System and method for motion analysis and feedback with ongoing dynamic training orientation determination AA Amini US Patent App. 13/183,306, 2013 | 86 | 2013 |
| Deep orientation uncertainty learning based on a bingham loss I Gilitschenski, R Sahoo, W Schwarting, A Amini, S Karaman, D Rus International Conference on Learning Representations (ICLR), 2019 | 77 | 2019 |
| Introduction to Deep Learning: MIT 6.S191 A Amini, A Soleimany MIT 6.S191, 2018 | 70* | 2018 |
| Spatial uncertainty sampling for end-to-end control A Amini, A Soleimany, S Karaman, D Rus NeurIPS Workshop on Bayesian Deep Learning, 2017 | 65 | 2017 |
| Causal navigation by continuous-time neural networks C Vorbach*, R Hasani*, A Amini, M Lechner, D Rus Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 52 | 2021 |
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITZweryfikowany adres z csail.mit.edu