The Limits to Learning an SIR Process: Granular Forecasting for Covid-19. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (CoRR, 2020)

The Limits to Learning a Diffusion Model. - Jackie Baek; Vivek F. Farias; Andreea Georgescu; Retsef Levi; Tianyi Peng; Deeksha Sinha; Joshua Wilde; Andrew Zheng (EC, 2021)

Markovian Interference in Experiments. - Vivek F. Farias; Andrew A. Li; Tianyi Peng; Andrew Zheng (NeurIPS, 2022)

Synthetically Controlled Bandits. - Vivek F. Farias; Ciamac Moallemi; Tianyi Peng; Andrew Zheng (CoRR, 2022)

Optimal Control for Quadruped Locomotion using LTV MPC. - Andrew Zheng; Sriram S. K. S. Narayanan (CoRR, 2022)

Correcting for Interference in Experiments: A Case Study at Douyin. - Vivek F. Farias; Hao Li; Tianyi Peng; Xinyuyang Ren; Huawei Zhang; Andrew Zheng (RecSys, 2023)

Off-Road Navigation of Legged Robots Using Linear Transfer Operators. - Joseph Moyalan; Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (CoRR, 2023)

Safety using Analytically Constructed Density Functions. - Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (CoRR, 2023)

Safe Motion Planning for Quadruped Robots Using Density Functions. - Sriram S. K. S. Narayanan; Andrew Zheng; Umesh Vaidya (CoRR, 2023)

Safe Navigation Using Density Functions. - Andrew Zheng; Sriram S. K. S. Narayanan; Umesh Vaidya (IEEE Robotics Autom. Lett., 2023)

Synthesizing Controller for Safe Navigation Using Control Density Function. - Joseph Moyalan; Sriram S. K. S. Narayanan; Andrew Zheng; Umesh Vaidya (ACC, 2024)

Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning. - Brandon Curtis Colelough; Andrew Zheng (CoRR, 2024)

Speeding up Policy Simulation in Supply Chain RL. - Vivek F. Farias; Joren Gijsbrechts; Aryan I. Khojandi; Tianyi Peng; Andrew Zheng (CoRR, 2024)

Mora: abundance aware metagenomic read re-assignment for disentangling similar strains. - Andrew Zheng; Jim Shaw; Yun William Yu (BMC Bioinform., 2024)

Autoethnographic Insights from Neurodivergent GAI "Power Users". - Kate Glazko; Junhyeok Cha; Aaleyah Lewis; Ben Kosa; Brianna L. Wimer; Andrew Zheng; Yiwei Zheng; Jennifer Mankoff (CHI, 2025)

Differences-in-Neighbors for Network Interference in Experiments. - Tianyi Peng; Naimeng Ye; Andrew Zheng (EC, 2025)

Evaluating singular and near-singular integrals on C2 smooth surfaces with a novel geometric method and closed form expressions. - Andrew Zheng; Spyros Alexakis; Adam R. Stinchcombe (CoRR, 2025)