Schmerling, Edward

7 publications

ICLR 2025 Language-Image Models with 3D Understanding Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Kraehenbuehl, Yan Wang, Marco Pavone

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

CoRL 2024 Tokenize the World into Object-Level Knowledge to Address Long-Tail Events in Autonomous Driving Thomas Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone

AISTATS 2022 A Unified View of SDP-Based Neural Network Verification Through Completely Positive Programming Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone

AISTATS 2022 Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro, Edward Schmerling, Nikos Arechiga, Marco Pavone

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

UAI 2022 Local Calibration: Metrics and Recalibration Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone