Pulakesh Upadhyaya

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Causal Structure

Error Correction

Intensive Care Units

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. CoRR (2024)
Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137 (2023)
Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI (2023)
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
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR (2021)
Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR (2021)
Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Jiang
CodNN - Robust Neural Networks From Coded Classification. CoRR (2020)
Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Andrew Jiang
CodNN - Robust Neural Networks From Coded Classification. ISIT (2020)
Kunping Huang, Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Paul H. Siegel, Anxiao Andrew Jiang
Improve Robustness of Deep Neural Networks by Coding. ITA (2020)
Pulakesh Upadhyaya, Anxiao Andrew Jiang
Representation-Oblivious Error Correction by Natural Redundancy. ICC (2019)
Pulakesh Upadhyaya, Anxiao Jiang
Machine Learning for Error Correction with Natural Redundancy. CoRR (2019)
Pulakesh Upadhyaya, Anxiao Jiang
Representation-Oblivious Error Correction by Natural Redundancy. CoRR (2018)
Anxiao Jiang, Pulakesh Upadhyaya, Erich F. Haratsch, Jehoshua Bruck
Correcting errors by natural redundancy. ITA (2017)
Pulakesh Upadhyaya, Anxiao Andrew Jiang
On LDPC decoding with natural redundancy. Allerton (2017)
Anxiao Andrew Jiang, Pulakesh Upadhyaya, Ying Wang, Krishna R. Narayanan, Hongchao Zhou, Jin Sima, Jehoshua Bruck
Stopping set elimination for LDPC codes. Allerton (2017)