Sindhu Tipirneni

According to our database, Sindhu Tipirneni authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

StructCoder: Structure-Aware Transformer for Code Generation.

Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy

ACM Trans. Knowl. Discov. Data, April, 2024

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

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, August, 2023

Execution-based Code Generation using Deep Reinforcement Learning.

Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy

Trans. Mach. Learn. Res., 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

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 Traumatic Brain Injury Phenotyping.

Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

CoRR, 2023

2022

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series.

Sindhu Tipirneni, Chandan K. Reddy

ACM Trans. Knowl. Discov. Data, 2022

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.

Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy

CoRR, 2022

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

Proceedings of the AMIA 2022, 2022

2021

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.

Sindhu Tipirneni, Chandan K. Reddy

CoRR, 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021