Apoorva Sharma

49 papers A* 7A 2C 1Misc 1Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. IEEE Robotics Autom. Lett. Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal
2026	J	`jnl`	Skin lesion identification using carpet weaving fossa algorithm based convolutional neural network with transfer learning and Tversky Loss-U-Net+ + based segmentation. Neurocomputing Vineet Kumar Dubey, Apoorva Sharma, Vandana Dixit Kaushik
2025	J	`jnl`	A Power-Efficient Gaussian Filter Architecture Using Adder Compressors for Edge Detection Application. Circuits Syst. Signal Process. Sahith Guturu, Anil Kumar Uppugunduru, Apoorva Sharma, Syed Ershad Ahmed
2025	J	`jnl`	Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning. CoRR Zhenghao "Mark" Peng, Wenhao Ding, Yurong You, Yuxiao Chen, Wenjie Luo, Thomas Tian, Yulong Cao, Apoorva Sharma, Danfei Xu, Boris Ivanovic, Boyi Li, Bolei Zhou, Yan Wang, Marco Pavone
2025	J	`jnl`	Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation. CoRR Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone
2025	A*	`conf`	Online Aggregation of Trajectory Predictors. ICRA Alex Tong, Apoorva Sharma, Sushant Veer, Marco Pavone, Heng Yang
2025	J	`jnl`	Online Aggregation of Trajectory Predictors. CoRR Alex Tong, Apoorva Sharma, Sushant Veer, Marco Pavone, Heng Yang
2025	A*	`conf`	STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. ICLR Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Yue Wang, Marco Pavone
2025	J	`jnl`	STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes. CoRR Jiawei Yang, Jiahui Huang, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Boris Ivanovic, Yue Wang, Marco Pavone
2025	J	`jnl`	Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. CoRR Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Wenhao Ding, Sever Topan, Boris Ivanovic, Marco Pavone, Somil Bansal
2025	A*	`conf`	System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles. ICRA Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Boris Ivanovic, Marco Pavone, Somil Bansal
2025	J	`jnl`	The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving. CoRR Jay Patrikar, Apoorva Sharma, Sushant Veer, Boyi Li, Sebastian A. Scherer, Marco Pavone
2024	J	`jnl`	RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. CoRR Jay Patrikar, Sushant Veer, Apoorva Sharma, Marco Pavone, Sebastian A. Scherer
2024	J	`jnl`	System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles. CoRR Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Boris Ivanovic, Marco Pavone, Somil Bansal
2023	Misc	`conf`	Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRL Sushant Veer, Apoorva Sharma, Marco Pavone
2023	J	`jnl`	Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRR Sushant Veer, Apoorva Sharma, Marco Pavone
2023	A*	`conf`	PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. NeurIPS Apoorva Sharma, Sushant Veer, Asher J. Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
2023	J	`jnl`	PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. CoRR Apoorva Sharma, Sushant Veer, Asher J. Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
2022	J	`jnl`	A System-Level View on Out-of-Distribution Data in Robotics. CoRR Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone
2022	—	`conf`	Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone
2022	J	`jnl`	Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone
2022	J	`jnl`	Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. IEEE Trans. Robotics Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone
2022	J	`jnl`	Uncertainty-Aware Meta-Learning for Multimodal Task Distributions. CoRR Cesar Almecija, Apoorva Sharma, Navid Azizan
2021	J	`jnl`	Building on Huang et al. GlossBERT for Word Sense Disambiguation. CoRR Nikhil Patel, James Hale, Kanika Jindal, Apoorva Sharma, Yichun Yu
2021	J	`jnl`	Network offloading policies for cloud robotics: a learning-based approach. Auton. Robots Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone
2021	J	`jnl`	On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. CoRR Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone
2021	A	`conf`	Particle MPC for Uncertain and Learning-Based Control. IROS Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone
2021	J	`jnl`	Particle MPC for Uncertain and Learning-Based Control. CoRR Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone
2021	J	`jnl`	Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks. CoRR Apoorva Sharma, Navid Azizan, Marco Pavone
2021	A	`conf`	Sketching curvature for efficient out-of-distribution detection for deep neural networks. UAI Apoorva Sharma, Navid Azizan, Marco Pavone
2020	J	`jnl`	Big data analytics predicting real estate prices. Int. J. Syst. Assur. Eng. Manag. Archana Singh, Apoorva Sharma, Gaurav Dubey
2020	A*	`conf`	Continuous Meta-Learning without Tasks. NeurIPS James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone
2020	J	`jnl`	Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management. SN Comput. Sci. Apoorva Sharma, Jaswinder Kaur, Inderbir Singh
2020	J	`jnl`	Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. CoRR Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone
2019	J	`jnl`	A 25 Mbps, 12.4 pJ/b DQPSK Backscatter Data Uplink for the NeuroDisc Brain-Computer Interface. IEEE Trans. Biomed. Circuits Syst. James Rosenthal, Apoorva Sharma, Eleftherios Kampianakis, Matthew S. Reynolds
2019	A*	`conf`	BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. ICRA Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone
2019	J	`jnl`	Continuous Meta-Learning without Tasks. CoRR James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone
2019	—	`conf`	Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm. SocProS (2) Apoorva Sharma, Nirmala Sharma, Harish Sharma, Jagdish Chand Bansal
2019	—	`conf`	Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. Robotics: Science and Systems Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone
2019	J	`jnl`	Network Offloading Policies for Cloud Robotics: a Learning-based Approach. CoRR Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone
2019	A*	`conf`	Robust and Adaptive Planning under Model Uncertainty. ICAPS Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone
2019	J	`jnl`	Robust and Adaptive Planning under Model Uncertainty. CoRR Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone
2018	—	`conf`	A 6.25 Mbps, 12.4 pJ/bit DQPSK Backscatter Wireless Uplink for the NeuroDisc Brain-Computer Interface. BioCAS James Rosenthal, Eleftherios Kampianakis, Apoorva Sharma, Matthew S. Reynolds
2018	J	`jnl`	BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. CoRR Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone
2018	—	`conf`	Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using Computer Vision Techniques. SEEDA-CECNSM Ipshita Chatterjee, Isha, Apoorva Sharma
2018	J	`jnl`	Meta-Learning Priors for Efficient Online Bayesian Regression. CoRR James Harrison, Apoorva Sharma, Marco Pavone
2018	C	`conf`	Meta-learning Priors for Efficient Online Bayesian Regression. WAFR James Harrison, Apoorva Sharma, Marco Pavone
2017	—	`conf`	A dual-band wireless power transfer and backscatter communication approach for implantable neuroprosthetic devices. RFID Eleftherios Kampianakis, Apoorva Sharma, Jose Arenas, Matthew S. Reynolds
2016	—	`conf`	A low cost 10.0-11.1 GHz X-band microwave backscatter communication testbed with integrated planar wideband antennas. IEEE RFID Xiaojie Fu, Apoorva Sharma, Eleftherios Kampianakis, Andreas Pedross-Engel, Daniel Arnitz, Matthew S. Reynolds