Stopping set elimination for LDPC codes. - Anxiao Andrew Jiang; Pulakesh Upadhyaya; Ying Wang; Krishna R. Narayanan; Hongchao Zhou; Jin Sima; Jehoshua Bruck (Allerton, 2017)

On LDPC decoding with natural redundancy. - Pulakesh Upadhyaya; Anxiao Andrew Jiang (Allerton, 2017)

Correcting errors by natural redundancy. - Anxiao Jiang; Pulakesh Upadhyaya; Erich F. Haratsch; Jehoshua Bruck (ITA, 2017)

Representation-Oblivious Error Correction by Natural Redundancy. - Pulakesh Upadhyaya; Anxiao Andrew Jiang (ICC, 2019)

Machine Learning for Error Correction with Natural Redundancy. - Pulakesh Upadhyaya; Anxiao Jiang (CoRR, 2019)

CodNN - Robust Neural Networks From Coded Classification. - Netanel Raviv; Siddharth Jain; Pulakesh Upadhyaya; Jehoshua Bruck; Anxiao Andrew Jiang (ISIT, 2020)

Improve Robustness of Deep Neural Networks by Coding. - Kunping Huang; Netanel Raviv; Siddharth Jain; Pulakesh Upadhyaya; Jehoshua Bruck; Paul H. Siegel; Anxiao Andrew Jiang (ITA, 2020)

Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. - Yaobin Ling; Pulakesh Upadhyaya; Luyao Chen; Xiaoqian Jiang; Yejin Kim (CoRR, 2021)

Scalable Causal Structure Learning: New Opportunities in Biomedicine. - Pulakesh Upadhyaya; Kai Zhang 041; Can Li; Xiaoqian Jiang; Yejin Kim (CoRR, 2021)

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. - Pulakesh Upadhyaya; Yaobin Ling; Luyao Chen; Yejin Kim 001; Xiaoqian Jiang (ICHI, 2023)

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. - Yaobin Ling; Pulakesh Upadhyaya; Luyao Chen; Xiaoqian Jiang; Yejin Kim 001 (J. Biomed. Informatics, 2023)

ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. - Jeffrey Wang; Joao Souza de Vale; Saransh Gupta; Pulakesh Upadhyaya; Felipe A. Lisboa; Seth A. Schobel; Eric A. Elster; Christopher J. Dente; Timothy G. Buchman; Rishikesan Kamaleswaran (BMC Medical Informatics Decis. Mak., 2023)

Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. - Alan Wu; Tilendra Choudhary; Pulakesh Upadhyaya; Ayman Ali; Philip Yang; Rishikesan Kamaleswaran (CoRR, 2024)