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Apoorva Sharma
Apoorva Sharma
Research Scientist, NVIDIA
Verified email at nvidia.com
Title
Cited by
Cited by
Year
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
1132021
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
1002020
Continuous meta-learning without tasks
J Harrison, A Sharma, C Finn, M Pavone
Advances in neural information processing systems 33, 17571-17581, 2020
882020
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
602019
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
422022
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
422021
Control adaptation via meta-learning dynamics
J Harrison, A Sharma, R Calandra, M Pavone
Workshop on Meta-Learning at NeurIPS 2018, 2018
272018
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
162022
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
152019
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
82021
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
82020
Frame interpolation using generative adversarial networks
M Koren, K Menda, A Sharma
Stanford University: Stanford, CA, USA, 2017
72017
Nasa uli aircraft taxi dataset
SM Katz, A Corso, S Chinchali, A Elhafsi, A Sharma, M Pavone, ...
2021, stanford Research Data, 2021
62021
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
52021
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
42019
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
22023
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
C Almecija, A Sharma, N Azizan
arXiv preprint arXiv:2210.01881, 2022
22022
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
12024
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
S Veer, A Sharma, M Pavone
Conference on Robot Learning, 2807-2820, 2023
12023
Convolutional neural networks for video frame interpolation
A Sharma, K Menda, M Koren
Neurocomputing, 2017
12017
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