Sindhu Tipirneni

17 papers Misc 3Journal 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
Context-Aware Clustering using Large Language Models.
CoRR
Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2024 J jnl
StructCoder: Structure-Aware Transformer for Code Generation.
ACM Trans. Knowl. Discov. Data
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
2023 J jnl
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping.
CoRR
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping.
J. Biomed. Informatics
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
Execution-based Code Generation using Deep Reinforcement Learning.
CoRR
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
2023 J jnl
Execution-based Code Generation using Deep Reinforcement Learning.
Trans. Mach. Learn. Res.
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
2023 J jnl
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series.
CoRR
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
2023 J jnl
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values.
J. Biomed. Informatics
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2022 Misc conf
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 J jnl
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
CoRR
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian
2022 J jnl
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series.
ACM Trans. Knowl. Discov. Data
Sindhu Tipirneni, Chandan K. Reddy
2022 J jnl
StructCoder: Structure-Aware Transformer for Code Generation.
CoRR
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
2022 J jnl
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values.
CoRR
Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian
2022 J jnl
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.
CoRR
Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy
2021 Misc conf
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.
AMIA
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian
2021 J jnl
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.
CoRR
Sindhu Tipirneni, Chandan K. Reddy
2021 Misc conf
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
AMIA
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy