Subbareddy Batreddy

Orcid: 0000-0002-3265-4100

According to our database1, Subbareddy Batreddy authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Inpainting-Driven Graph Learning via Explainable Neural Networks.
IEEE Signal Process. Lett., 2025

Learning bipartite graphs from spectral templates.
Signal Process., 2025

Robust Graph Classification with Instance Independent Noisy Labels: An EM Approach using Kolmogorov-Arnold Networks.
Proceedings of the International Joint Conference on Neural Networks, 2025

HiCARE-EHR: Hierarchical Conditional AutoRegressive Events for High-Fidelity EHRs.
Proceedings of the IEEE International Conference on Big Data, 2025

UniFi-LLM: A Unified Large Language Model for Financial Data Generation and Fraud Prediction.
Proceedings of the IEEE International Conference on Big Data, 2025

EHR Can-Flow: Contrastively Aligned Normalizing Flows for Conditional EHR Generation.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Joint Data Inpainting and Graph Learning via Unrolled Neural Networks.
CoRR, 2024

EHRGPT: Leveraging language models for generating synthetic health records.
Proceedings of the IEEE International Conference on Big Data, 2024

Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud Detection.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Robust graph learning for classification.
Signal Process., October, 2023

2019
On Using Graph Signal Processing for Electrical Load Disaggregation.
Proceedings of the 26th International Conference on High Performance Computing, 2019


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