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2020 – today
- 2024
[i6]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 abs/2405.02563 (2024)- 2023
- [j2]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: 104256 (2023) - [j1]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): 262 (2023) - [c7]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: 49-57 - 2021
- [i5]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i4]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [c6]Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Andrew Jiang:
CodNN - Robust Neural Networks From Coded Classification. ISIT 2020: 2688-2693 - [c5]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: 1-7 - [i3]Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Jiang:
CodNN - Robust Neural Networks From Coded Classification. CoRR abs/2004.10700 (2020)
2010 – 2019
- 2019
- [c4]Pulakesh Upadhyaya, Anxiao Andrew Jiang:
Representation-Oblivious Error Correction by Natural Redundancy. ICC 2019: 1-7 - [i2]Pulakesh Upadhyaya, Anxiao Jiang:
Machine Learning for Error Correction with Natural Redundancy. CoRR abs/1910.07420 (2019) - 2018
- [i1]Pulakesh Upadhyaya, Anxiao Jiang:
Representation-Oblivious Error Correction by Natural Redundancy. CoRR abs/1811.04032 (2018) - 2017
- [c3]Pulakesh Upadhyaya, Anxiao Andrew Jiang:
On LDPC decoding with natural redundancy. Allerton 2017: 680-687 - [c2]Anxiao Andrew Jiang, Pulakesh Upadhyaya, Ying Wang, Krishna R. Narayanan, Hongchao Zhou, Jin Sima, Jehoshua Bruck:
Stopping set elimination for LDPC codes. Allerton 2017: 700-707 - [c1]Anxiao Jiang, Pulakesh Upadhyaya, Erich F. Haratsch, Jehoshua Bruck:
Correcting errors by natural redundancy. ITA 2017: 1-8
Coauthor Index
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