Pinned Repositories
2020-SIIMS-AcceleratingMCMCmethods
Here you can find MATLAB/PYTHON code to replicate some of the results found in the paper: "Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method", Marcelo Pereyra, Luis Vargas Mieles, and Konstantinos C. Zygalakis, Volume 13, Issue 2, pages 905-935, https://epubs.siam.org/doi/abs/10.1137/19M1283719
convex_ridge_regularizers
ddrm-fork
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
DPIR-fork
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
equivariant_bootstrap
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems, AISTATS24 Oral
joint-demosaicing-denoising-sem
Demo Code for the paper "Joint Demosaicing and Denoising Based on Sequential Energy Minimization"
LMMO_lightning
accelerated-langevin-imla
Code for the paper "Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling" (https://arxiv.org/abs/2308.09460).
sampling-tutorials
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
joint-demosaicing-denoising-sem
Demo Code for the paper "Joint Demosaicing and Denoising Based on Sequential Energy Minimization"
freyyia's Repositories
freyyia/2020-SIIMS-AcceleratingMCMCmethods
Here you can find MATLAB/PYTHON code to replicate some of the results found in the paper: "Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method", Marcelo Pereyra, Luis Vargas Mieles, and Konstantinos C. Zygalakis, Volume 13, Issue 2, pages 905-935, https://epubs.siam.org/doi/abs/10.1137/19M1283719
freyyia/convex_ridge_regularizers
freyyia/ddrm-fork
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
freyyia/DPIR-fork
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
freyyia/equivariant_bootstrap
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems, AISTATS24 Oral
freyyia/joint-demosaicing-denoising-sem
Demo Code for the paper "Joint Demosaicing and Denoising Based on Sequential Energy Minimization"
freyyia/LMMO_lightning
freyyia/MCMC-Methods-for-Low-Photon-Imaging-fork
freyyia/research-code
freyyia/sampling-tutorials
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
freyyia/weakly_convex_ridge_regularizer_fork
freyyia/xCTing_training
Python notebooks for xCTing training event "Mathematics of Tomography"