Sharma, Apoorva

8 publications

CoRL 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone

ICLR 2025 STORM: Spatio-TempOral Reconstruction Model for Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone

CoRL 2023 Multi-Predictor Fusion: Combining Learning-Based and Rule-Based Trajectory Predictors Sushant Veer, Apoorva Sharma, Marco Pavone

NeurIPS 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

ECCVW 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

NeurIPSW 2022 Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija, Apoorva Sharma, Young-Jin Park, Navid Azizan

UAI 2021 Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks Apoorva Sharma, Navid Azizan, Marco Pavone

NeurIPS 2020 Continuous Meta-Learning Without Tasks James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone