Hong Ye Tan

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Shape From Shading

Maximum Likelihood

Provably Convergent

Boltzmann Machine

Top Venues

SIAM J. Math. Data Sci.

SIAM J. Imaging Sci.

Publications

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. Trans. Mach. Learn. Res. 2024 (2024)
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. CoRR (2024)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. 17 (2) (2024)
Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Hong Ye Tan, Stanley J. Osher, Wuchen Li
Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
Robust Data-Driven Accelerated Mirror Descent. ICASSP (2023)