Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. - Sutanay Choudhury; Khushbu Agarwal; Colby Ham; Pritam Mukherjee; Siyi Tang; Sindhu Tipirneni; Veysel Kocaman; Suzanne Tamang; Robert Rallo; Chandan K. Reddy (AMIA, 2021)

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Jonathan J. Ratcliff; Chandan K. Reddy; Vignesh Subbian (AMIA, 2021)

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. - Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2021)

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (AMIA, 2022)

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. - Ming Zhu 015; Aneesh Jain; Karthik Suresh 003; Roshan Ravindran; Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2022)

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series. - Sindhu Tipirneni; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2022)

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (J. Biomed. Informatics, 2023)

Execution-based Code Generation using Deep Reinforcement Learning. - Parshin Shojaee; Aneesh Jain; Sindhu Tipirneni; Chandan K. Reddy (Trans. Mach. Learn. Res., 2023)

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. - Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Brandon Foreman; Vignesh Subbian (J. Biomed. Informatics, 2023)

Context-Aware Clustering using Large Language Models. - Sindhu Tipirneni; Ravinarayana Adkathimar; Nurendra Choudhary; Gaurush Hiranandani; Rana Ali Amjad; Vassilis N. Ioannidis; Changhe Yuan; Chandan K. Reddy (CoRR, 2024)

StructCoder: Structure-Aware Transformer for Code Generation. - Sindhu Tipirneni; Ming Zhu 015; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2024)