• Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy. StructCoder: Structure-Aware Transformer for Code Generation. (2022) [link] [code]
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  • Sindhu Tipirneni, Chandan K. Reddy. Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. TKDD 2022. [link] [code]

  • Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy. XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. (2022) [link] [code]

  • Khushbu Agarwal, Sutanay Choudhury, Sindhu Tipirneni, Pritam Mukherjee, Colby Ham, Suzanne Tamang, Matthew Baker et al. Preparing for the next pandemic: Transfer learning from existing diseases via hierarchical multi-modal BERT models to predict COVID-19 outcomes. Nature Scientific Reports 2022. [link] [code]

  • Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan Ratcliff, Chandan K Reddy, Vignesh Subbian. Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. AMIA 2021 Annual Symposium. [preprint]

  • Tyler H. Chang*, Thomas C. H. Lux*, Sindhu Tipirneni*. Least-squares solutions to polynomial systems of equations with quantum annealing. Quantum Information Processing 2019. [link] [preprint] [code]

Posters and Presentations

  • Sindhu Tipirneni, Byung H. Park, Everett Rush, Ozgur Ozmen, Makoto M. Jones, Merry Ward, Jonathan Nebeker, Chandan K. Reddy. Interpretable Attention-based Models for Identifying Prescribing Patterns for Major Depressive Disorder. Poster presented at AMIA 2021 Virtual Clinical Informatics Conference.

  • Sindhu Tipirneni and Alex McCaskey. Ground State Electronic Calculations with Restricted Boltzmann Machines using Quantum Annealing. Presented at AI Expo 2019, Oak Ridge National Laboratory.

  • Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Chandan Reddy, Suzanne Tamang, Robert Rallo, and Veysel Kocaman. Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. Poster presented at AMIA 2021 Annual Symposium.