Jiaming Liu
@jiaming__liu
PhD in EE，computational imaging group (CIG)@wustlcig , Washington University in St.Louis (WUSTL).
ID: 1070044928250658816
https://jiamingliu-jeremy.github.io/ 04-12-2018 19:59:26
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Our paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition" has been accepted to NeurIPS Conference 2021. We present theory that relates compressive sensing using generative models to plug-and-play priors (PnP). arxiv.org/abs/2106.03668
Polyak-Łojasiewicz inequality generalizes strong convexity, and a simple condition to ensure linear converge of gradient descent even for non-convex functions. You should read the very nice and clear paper of Mark Schmidt and collaborators about this! arxiv.org/abs/1608.04636
📢📢 Release of DeepInverse library 📢📢 After months of intense work, we are releasing the first stable version of DeepInverse deepinv.github.io/deepinv/, a PyTorch library for solving inverse problems with deep learning. with Samuel Hurault, Matthieu Terris and Dongdong Chen A 🧵
Excited to share my latest work at Caltech, named ‘Provable Probabilistic Imaging using Score-Based Generative Priors’. This work is a collaboration with Zihui (Ray) Wu, Yifan Chen, Berthy Feng, and Katie Bouman. arxiv.org/abs/2310.10835
@wustlcig Weijie Gan Jiaming Liu Yuyang Hu✈️ICML Please come to our deep-inverse.org workshop on Sat Dec 16!
➤ M. Renaud, J. Liu, V. de Bortoli, A. Almansa, and U. S. Kamilov, “Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models” Authors on X: Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov Link: arxiv.org/abs/2310.03546 (3/3)
The Oden Institute Peter O'Donnell Jr. Postdoc Fellowship program is accepting applications (deadline Dec 1). Contact me if you are interested in applying and working together on 💻🧲🖼️ (computational magnetic resonance imaging)! oden.utexas.edu/research/progr…
🎉Thrilled to share our latest work “Stochastic Deep Restoration Priors for Imaging Inverse Problems”! Big thanks to my amazing collaborators Ulugbek S. Kamilov mauricio delbracio Peyman Milanfar Weijie Gan Albert Peng. ⭑ Preprint: arxiv.org/abs/2410.02057. ⭑ Website: wustl-cig.github.io/sharpwww/.
Excited to announce my work during Google AI internship is now on arXiv! Grateful for my incredible hosts and collaborators: mauricio delbracio, Peyman Milanfar, Kangfu Mei, Mojtaba Sahraee-Ardakan and Ulugbek S. Kamilov. Please check out the paper here: [arxiv.org/abs/2507.05604].