Subbareddy Batreddy

11 papers B 6Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
EHR Can-Flow: Contrastively Aligned Normalizing Flows for Conditional EHR Generation.
IEEE Big Data
Subbareddy Batreddy, Giridhar Pamisetty, Priya Verma, Ch. Sobhan Babu
2025 B conf
HiCARE-EHR: Hierarchical Conditional AutoRegressive Events for High-Fidelity EHRs.
IEEE Big Data
Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu
2025 J jnl
Inpainting-Driven Graph Learning via Explainable Neural Networks.
IEEE Signal Process. Lett.
Subbareddy Batreddy, Pushkal Mishra, Kakarla Yaswanth, Aditya Siripuram
2025 J jnl
Learning bipartite graphs from spectral templates.
Signal Process.
Subbareddy Batreddy, Aditya Siripuram, Jingxin Zhang
2025 B conf
Robust Graph Classification with Instance Independent Noisy Labels: An EM Approach using Kolmogorov-Arnold Networks.
IJCNN
Arif Khan Pathan, Raghavendra Kulkarni, Subbareddy Batreddy, Giridhar Pamisetty, Priya Verma, Ch. Sobhan Babu
2025 B conf
UniFi-LLM: A Unified Large Language Model for Financial Data Generation and Fraud Prediction.
IEEE Big Data
Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu
2024 B conf
Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud Detection.
IEEE Big Data
Subbareddy Batreddy, Giridhar Pamisetty, Manish Kothuri, Priya Verma, Ch. Sobhan Babu
2024 B conf
EHRGPT: Leveraging language models for generating synthetic health records.
IEEE Big Data
Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu
2024 J jnl
Joint Data Inpainting and Graph Learning via Unrolled Neural Networks.
CoRR
Subbareddy Batreddy, Pushkal Mishra, Kakarla Yaswanth, Aditya Siripuram
2023 J jnl
Robust graph learning for classification.
Signal Process.
Subbareddy Batreddy, Aditya Siripuram, Jingxin Zhang
2019 — conf
On Using Graph Signal Processing for Electrical Load Disaggregation.
HiPC Workshops
Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra