146 citations · 646 across the 40 of their papers we have counts for
8 papers · 1 filter
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values
Amin Nayebi, Sindhu Tipirneni, Chandan K Reddy +2
Unpacking and comprehending how black-box machine learning algorithms make decisions has been a persistent challenge for researchers and end-users. Explaining time-series predictiv…
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman +2
A longstanding challenge surrounding deep learning algorithms is unpacking and understanding how they make their decisions. Explainable Artificial Intelligence (XAI) offers methods…
Text Enriched Sparse Hyperbolic Graph Convolutional Networks
Nurendra Choudhary, Nikhil Rao, Karthik Subbian +1
Heterogeneous networks, which connect informative nodes containing text with different edge types, are routinely used to store and process information in various real-world applica…
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
Ming Zhu, Aneesh Jain, Karthik Suresh +3
Recent advances in machine learning have significantly improved the understanding of source code data and achieved good performance on a number of downstream tasks. Open source rep…
StructCoder: Structure-Aware Transformer for Code Generation
Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy
There has been a recent surge of interest in automating software engineering tasks using deep learning. This paper addresses the problem of code generation, where the goal is to ge…
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury +2
Hyperbolic neural networks can effectively capture the inherent hierarchy of graph datasets, and consequently a powerful choice of GNNs. However, they entangle multiple incongruent…
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha, Chandan K. Reddy
Pre-trained programming language (PL) models (such as CodeT5, CodeBERT, GraphCodeBERT, etc.,) have the potential to automate software engineering tasks involving code understanding…
Multi-Label Clinical Time-Series Generation via Conditional GAN
Chang Lu, Chandan K. Reddy, Ping Wang +2
In recent years, deep learning has been successfully adopted in a wide range of applications related to electronic health records (EHRs) such as representation learning and clinica…