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Apoorva Sharma
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2020 – today
- 2024
- [i16]Jay Patrikar, Sushant Veer, Apoorva Sharma, Marco Pavone, Sebastian A. Scherer:
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. CoRR abs/2405.11139 (2024) - 2023
- [c15]Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRL 2023: 2807-2820 - [c14]Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar:
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. NeurIPS 2023 - [i15]Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRR abs/2307.01408 (2023) - [i14]Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar:
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. CoRR abs/2312.04658 (2023) - 2022
- [j5]Thomas Lew
, Apoorva Sharma
, James Harrison, Andrew Bylard, Marco Pavone
:
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. IEEE Trans. Robotics 38(5): 2888-2907 (2022) - [c13]Somrita Banerjee
, Apoorva Sharma, Edward Schmerling
, Max Spolaor, Michael Nemerouf, Marco Pavone
:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) 2022: 127-142 - [i13]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR abs/2209.06855 (2022) - [i12]Cesar Almecija, Apoorva Sharma, Navid Azizan
:
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions. CoRR abs/2210.01881 (2022) - [i11]Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone:
A System-Level View on Out-of-Distribution Data in Robotics. CoRR abs/2212.14020 (2022) - 2021
- [j4]Sandeep Chinchali
, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone
:
Network offloading policies for cloud robotics: a learning-based approach. Auton. Robots 45(7): 997-1012 (2021) - [c12]Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone
:
Particle MPC for Uncertain and Learning-Based Control. IROS 2021: 7127-7134 - [c11]Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching curvature for efficient out-of-distribution detection for deep neural networks. UAI 2021: 1958-1967 - [i10]Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks. CoRR abs/2102.12567 (2021) - [i9]Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone:
Particle MPC for Uncertain and Learning-Based Control. CoRR abs/2104.02213 (2021) - [i8]Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone:
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. CoRR abs/2111.06084 (2021) - [i7]Nikhil Patel, James Hale, Kanika Jindal, Apoorva Sharma, Yichun Yu:
Building on Huang et al. GlossBERT for Word Sense Disambiguation. CoRR abs/2112.07089 (2021) - 2020
- [j3]Archana Singh
, Apoorva Sharma, Gaurav Dubey
:
Big data analytics predicting real estate prices. Int. J. Syst. Assur. Eng. Manag. 11(2s): 208-219 (2020) - [j2]Apoorva Sharma, Jaswinder Kaur, Inderbir Singh:
Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management. SN Comput. Sci. 1(4): 232 (2020) - [c10]James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone:
Continuous Meta-Learning without Tasks. NeurIPS 2020 - [i6]Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone:
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. CoRR abs/2008.11700 (2020)
2010 – 2019
- 2019
- [j1]James Rosenthal
, Apoorva Sharma
, Eleftherios Kampianakis
, Matthew S. Reynolds
:
A 25 Mbps, 12.4 pJ/b DQPSK Backscatter Data Uplink for the NeuroDisc Brain-Computer Interface. IEEE Trans. Biomed. Circuits Syst. 13(5): 858-867 (2019) - [c9]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. ICAPS 2019: 410-418 - [c8]Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone:
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. ICRA 2019: 15-21 - [c7]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. Robotics: Science and Systems 2019 - [c6]Apoorva Sharma, Nirmala Sharma, Harish Sharma, Jagdish Chand Bansal:
Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm. SocProS (2) 2019: 1-15 - [i5]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. CoRR abs/1901.02577 (2019) - [i4]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network Offloading Policies for Cloud Robotics: a Learning-based Approach. CoRR abs/1902.05703 (2019) - [i3]James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone:
Continuous Meta-Learning without Tasks. CoRR abs/1912.08866 (2019) - 2018
- [c5]James Rosenthal
, Eleftherios Kampianakis, Apoorva Sharma, Matthew S. Reynolds:
A 6.25 Mbps, 12.4 pJ/bit DQPSK Backscatter Wireless Uplink for the NeuroDisc Brain-Computer Interface. BioCAS 2018: 1-4 - [c4]Ipshita Chatterjee, Isha, Apoorva Sharma:
Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using Computer Vision Techniques. SEEDA-CECNSM 2018: 1-6 - [c3]James Harrison, Apoorva Sharma, Marco Pavone:
Meta-learning Priors for Efficient Online Bayesian Regression. WAFR 2018: 318-337 - [i2]Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone:
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. CoRR abs/1806.06161 (2018) - [i1]James Harrison, Apoorva Sharma, Marco Pavone:
Meta-Learning Priors for Efficient Online Bayesian Regression. CoRR abs/1807.08912 (2018) - 2017
- [c2]Eleftherios Kampianakis, Apoorva Sharma, Jose Arenas, Matthew S. Reynolds:
A dual-band wireless power transfer and backscatter communication approach for implantable neuroprosthetic devices. RFID 2017: 67-72 - 2016
- [c1]Xiaojie Fu, Apoorva Sharma, Eleftherios Kampianakis, Andreas Pedross-Engel
, Daniel Arnitz, Matthew S. Reynolds:
A low cost 10.0-11.1 GHz X-band microwave backscatter communication testbed with integrated planar wideband antennas. IEEE RFID 2016: 89-92
Coauthor Index
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last updated on 2024-08-15 23:46 CEST by the dblp team
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