Search Results for author: Sindhu Tipirneni

Found 9 papers, 7 papers with code

Context-Aware Clustering using Large Language Models

no code implementations2 May 2024 Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy

Thus, we propose CACTUS (Context-Aware ClusTering with aUgmented triplet losS), a systematic approach that leverages open-source LLMs for efficient and effective supervised clustering of entity subsets, particularly focusing on text-based entities.

Clustering Language Modelling +2

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data

1 code implementation23 Mar 2023 Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

Determining clinically relevant physiological states from multivariate time series data with missing values is essential for providing appropriate treatment for acute conditions such as Traumatic Brain Injury (TBI), respiratory failure, and heart failure.

Clustering Imputation +2

Execution-based Code Generation using Deep Reinforcement Learning

1 code implementation31 Jan 2023 Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy

It's important to note that PPOCoder is a task-agnostic and model-agnostic framework that can be used across different code generation tasks and PLs.

Code Completion Code Translation +5

WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values

1 code implementation11 Nov 2022 Amin Nayebi, Sindhu Tipirneni, Chandan K Reddy, Brandon Foreman, Vignesh Subbian

We also show that our Dynamic WindowSHAP algorithm focuses more on the most important time steps and provides more understandable explanations.

Time Series Time Series Analysis

XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

1 code implementation16 Jun 2022 Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, Chandan K. Reddy

To the best of our knowledge, it is the largest parallel dataset for source code both in terms of size and the number of languages.

Code Search

StructCoder: Structure-Aware Transformer for Code Generation

1 code implementation10 Jun 2022 Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy

This paper addresses the problem of code generation, where the goal is to generate target code given source code in a different language or a natural language description.

Code Translation Decoder +1

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

1 code implementation29 Jul 2021 Sindhu Tipirneni, Chandan K. Reddy

In addition, to tackle the problem of limited availability of labeled data (which is typically observed in many healthcare applications), STraTS utilizes self-supervision by leveraging unlabeled data to learn better representations by using time-series forecasting as an auxiliary proxy task.

Imputation Mortality Prediction +2

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