2 papers
cs.CV2026
Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation
Jimut B. Pal, Suyash P. Awate
Deep neural networks (DNNs) frequently fail to generalize to out-of-distribution (OOD) medical images because of variations in scanners and acquisition protocols. Retraining DNN mo…
cs.CL2025
Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling
Tejomay Kishor Padole, Suyash P Awate, Pushpak Bhattacharyya
Masked diffusion language models (MDMs) have recently gained traction as a viable generative framework for natural language. This can be attributed to its scalability and ease of t…