| Network offloading policies for cloud robotics: a learning-based approach S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ... Autonomous Robots 45 (7), 997-1012, 2021 | 133 | 2021 |
| Meta-learning priors for efficient online bayesian regression J Harrison, A Sharma, M Pavone Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020 | 122 | 2020 |
| Continuous meta-learning without tasks J Harrison, A Sharma, C Finn, M Pavone Advances in neural information processing systems 33, 17571-17581, 2020 | 97 | 2020 |
| Barc: Backward reachability curriculum for robotic reinforcement learning B Ivanovic, J Harrison, A Sharma, M Chen, M Pavone 2019 International Conference on Robotics and Automation (ICRA), 15-21, 2019 | 74 | 2019 |
| Safe active dynamics learning and control: A sequential exploration–exploitation framework T Lew, A Sharma, J Harrison, A Bylard, M Pavone IEEE Transactions on Robotics 38 (5), 2888-2907, 2022 | 65 | 2022 |
| Sketching curvature for efficient out-of-distribution detection for deep neural networks A Sharma, N Azizan, M Pavone Uncertainty in Artificial Intelligence, 1958-1967, 2021 | 63 | 2021 |
| Control adaptation via meta-learning dynamics J Harrison, A Sharma, R Calandra, M Pavone Workshop on Meta-Learning at NeurIPS 2018, 2018 | 35 | 2018 |
| A System-Level View on Out-of-Distribution Data in Robotics R Sinha, A Sharma, S Banerjee, T Lew, R Luo, SM Richards, Y Sun, ... arXiv preprint arXiv:2212.14020, 2022 | 23 | 2022 |
| Robust and adaptive planning under model uncertainty A Sharma, J Harrison, M Tsao, M Pavone Proceedings of the International Conference on Automated Planning and …, 2019 | 18 | 2019 |
| Particle MPC for Uncertain and Learning-Based Control R Dyro, J Harrison, A Sharma, M Pavone 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 14 | 2021 |
| Safe model-based meta-reinforcement learning: A sequential exploration-exploitation framework T Lew, A Sharma, J Harrison, M Pavone arXiv preprint arXiv:2008.11700, 2020 | 10 | 2020 |
| Frame interpolation using generative adversarial networks M Koren, K Menda, A Sharma Stanford University: Stanford, CA, USA, 2017 | 9 | 2017 |
| Nasa uli aircraft taxi dataset SM Katz, A Corso, S Chinchali, A Elhafsi, A Sharma, M Pavone, ... 2021, stanford Research Data, 2021 | 8 | 2021 |
| On the problem of reformulating systems with uncertain dynamics as a stochastic differential equation T Lew, A Sharma, J Harrison, E Schmerling, M Pavone arXiv preprint arXiv:2111.06084, 2021 | 7 | 2021 |
| Safe learning and control using meta-learning T Lew, A Sharma, J Harrison, M Pavone Robust autonomy: tools for safety in real-world uncertain environments, 2019 | 5 | 2019 |
| PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction A Sharma, S Veer, A Hancock, H Yang, M Pavone, A Majumdar Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications S Banerjee, A Sharma, E Schmerling, M Spolaor, M Nemerouf, M Pavone 2023 IEEE Aerospace Conference, 1-10, 2023 | 4 | 2023 |
| Uncertainty-Aware Meta-Learning for Multimodal Task Distributions C Almecija, A Sharma, N Azizan arXiv preprint arXiv:2210.01881, 2022 | 4 | 2022 |
| Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors S Veer, A Sharma, M Pavone Conference on Robot Learning, 2807-2820, 2023 | 3 | 2023 |
| Convolutional neural networks for video frame interpolation A Sharma, K Menda, M Koren Neurocomputing, 2017 | 1 | 2017 |
