Bayesian model reconstruction based on astronomical spectral line observations.
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Updated
Oct 5, 2024 - Python
Bayesian model reconstruction based on astronomical spectral line observations.
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
EEG/MEG Forward and Inverse (Multilayer Source Space) Problem Pipeline (FieldTrip-based Toolbox)
Deep Denoising by Quantum Interactive Patches. A deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.
Single image super resolution algorithm RED+ADMM+De-QuIP
Denoising by Quantum Interactive Patches
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
Signal and image denoising using quantum adaptive transformation.
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Temporal laser-pulse-shape effects in nonlinear Thomson scattering
crEITive is a software tool for complex geometrical optics reconstruction for the 3D Calderón problem
Code for generating deep learning data through X-ray tomography for object detection
MATLAB implementation of "Fourier Phase Retrieval with Arbitrary Reference Signal" paper accepted at IEEE ICASSP 2020.
laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem
Inverse Decomposition of Energy Consumption (NILM)
MATLAB code for "Application of the cut-off projection to solve a backward heat conduction problem in a two-slab composite system"
The Taut String Approach to Statistical Inverse Problems
A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
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