3 papers
cs.LG2026
Beyond Task Success: A Theory of Representation Reuse
Zibo Meng, Andrew C. M. Austin, Alin Achim
A learned representation is useful beyond its source task only if later tasks can make use of what the encoder has already learned. Source-task performance, however, gives no guara…
eess.IV2026
Diffusion Meets Unrolling: Compressive SAR Image Reconstruction with Interleaved Learned Corrections
Odysseas Pappas, Andrew C. M. Austin, Perla Mayo +2
Compressive Synthetic Aperture Radar (SAR) imaging, typically formulated as an inverse problem and solved with traditional iterative optimisation methods, can be very computational…
eess.IV2025
Diffusion Probabilistic Models for Compressive SAR Imaging
Odysseas Pappas, Perla Mayo, Andrew Austin +1
Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computati…