SGD-Net accepted
Published:
IEEE TCI Accepted: My co-authored paper “SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees” has been accepted to IEEE Transaction on Computational Imaging.
Yu Sun 孙彧
Assistant Professor @ Johns Hopkins University
- Baltimore, MD
- ResearchGate
- Github
- Google Scholar
You May Also Enjoy
IEEE TCI: My work “Provable Probabilistic Imaging using Score-Based Generative Priors” is accepted to IEEE Transaxtions on Computational Imaging!
New Paper on arXiv: Our new paper “Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors” is on arXiv!
IEEE TCI: Our work “Learning Task-Specific Strategies for Accelerated MRI” is accepted to IEEE Transactions on Computational Imaging!
New Paper on arXiv: My work “Provable Probabilistic Imaging using Score-Based Generative Priors” is now on arXiv! In this work, I proposed plug-and-play Monte Carlo (PMC) as a principled framework to perform posterior sampling for general imaging inverse problems.