Apoorva Sharma

According to our database, Apoorva Sharma authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction.

Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

CoRR, 2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction.

Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors.

Sushant Veer, Apoorva Sharma, Marco Pavone

Proceedings of the Conference on Robot Learning, 2023

2022

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.

Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone

IEEE Trans. Robotics, 2022

A System-Level View on Out-of-Distribution Data in Robotics.

Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone

CoRR, 2022

Uncertainty-Aware Meta-Learning for Multimodal Task Distributions.

Cesar Almecija, Apoorva Sharma, Navid Azizan

CoRR, 2022

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications.

Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Building on Huang et al. GlossBERT for Word Sense Disambiguation.

Nikhil Patel, James Hale, Kanika Jindal, Apoorva Sharma, Yichun Yu

CoRR, 2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.

Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone

CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.

Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone

Auton. Robots, 2021

Sketching curvature for efficient out-of-distribution detection for deep neural networks.

Apoorva Sharma, Navid Azizan, Marco Pavone

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Particle MPC for Uncertain and Learning-Based Control.

Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management.

Apoorva Sharma, Jaswinder Kaur, Inderbir Singh

SN Comput. Sci., 2020

Big data analytics predicting real estate prices.

Archana Singh, Apoorva Sharma, Gaurav Dubey

Int. J. Syst. Assur. Eng. Manag., 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.

Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone

CoRR, 2020

Continuous Meta-Learning without Tasks.

James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A 25 Mbps, 12.4 pJ/b DQPSK Backscatter Data Uplink for the NeuroDisc Brain-Computer Interface.

James Rosenthal, Apoorva Sharma, Eleftherios Kampianakis, Matthew S. Reynolds

IEEE Trans. Biomed. Circuits Syst., 2019

Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm.

Apoorva Sharma, Nirmala Sharma, Harish Sharma, Jagdish Chand Bansal

Proceedings of the Soft Computing for Problem Solving 2019, 2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.

Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone

Proceedings of the International Conference on Robotics and Automation, 2019

Robust and Adaptive Planning under Model Uncertainty.

Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Meta-learning Priors for Efficient Online Bayesian Regression.

James Harrison, Apoorva Sharma, Marco Pavone

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using Computer Vision Techniques.

Ipshita Chatterjee, Isha, Apoorva Sharma

Proceedings of the 2018 South-Eastern European Design Automation, 2018

A 6.25 Mbps, 12.4 pJ/bit DQPSK Backscatter Wireless Uplink for the NeuroDisc Brain-Computer Interface.

James Rosenthal, Eleftherios Kampianakis, Apoorva Sharma, Matthew S. Reynolds

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

A dual-band wireless power transfer and backscatter communication approach for implantable neuroprosthetic devices.

Eleftherios Kampianakis, Apoorva Sharma, Jose Arenas, Matthew S. Reynolds

Proceedings of the 2017 IEEE International Conference on RFID, 2017

2016

A low cost 10.0-11.1 GHz X-band microwave backscatter communication testbed with integrated planar wideband antennas.

Xiaojie Fu, Apoorva Sharma, Eleftherios Kampianakis, Andreas Pedross-Engel, Daniel Arnitz, Matthew S. Reynolds

Proceedings of the 2016 IEEE International Conference on RFID, 2016