A globally optimal fast iterative linear maximum likelihood classifier. - Prasanna Reddy Pulakurthi; Sohail A. Dianat; Majid Rabbani; Suya You; Raghuveer M. Rao (Computational Imaging, 2023)

Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition. - Prasanna Reddy Pulakurthi; Mahsa Mozaffari; Sohail A. Dianat; Majid Rabbani; Jamison Heard; Raghuveer Rao (ICASSP, 2024)

Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition. - Prasanna Reddy Pulakurthi; Mahsa Mozaffari; Sohail A. Dianat; Jamison Heard; Raghuveer M. Rao; Majid Rabbani (IEEE Access, 2024)

Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data. - Prasanna Reddy Pulakurthi; Majid Rabbani; Celso M. de Melo; Sohail A. Dianat; Raghuveer M. Rao (CoRR, 2025)

Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation. - Prasanna Reddy Pulakurthi; Majid Rabbani; Jamison Heard; Sohail A. Dianat; Celso M. de Melo; Raghuveer Rao (CoRR, 2025)