2 papers
cs.CV2026
Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1
Numerous modern applications in signal processing and medical imaging necessitate acquiring high-dimensional signals under tight resource constraints. Traditional sampling theory s…
cs.CV2026
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. M. A. Valiuddin, R. J. G. van Sloun, C. G. A. Viviers +2
Advances in architectural design, data availability, and compute have driven remarkable progress in semantic segmentation. Yet, these models often rely on relaxed Bayesian assumpti…