summary of current machine learning appraoches and optical flow

Interface to run Diva software tool (spatial interpolation).

My PhD thesis: Automated Analysis of Time-resolved X-ray Data using Optical Flow Methods

An analysis and speedup of the FALDOI method for Optical Flow estimation

Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

Variational Osmosis for Non-Linear Image Fusion

a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy

Application of VQE algorithm to find the ground energy of a given hamiltonian matrix H with a specifc ansatz and decomposition.

Code for A Weighted Mini-Bucket Bound for Solving Influence Diagrams (UAI 2019) and Join-Graph Decomposition Bounds for Influence Diagrams (UAI 2018).

Interactive visualisations for the variational polaron problem with Makie.

This is a complete python package that explores variational methods for 2D image segmentation popularly known as snakes. The package consists of already implemented methods like Chan Vese & Yezzi (mean seperation), Bhattacharya (Probability distribution separation), also, Interactive feedback control approach to snakes

Image partitioning (color/gray/multichannel) based on the piecewise affine-linear Mumford-Shah model (aka the affine-linear Potts model)

Toolbox for fast, variational 1D alignment

Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization

ImageJ and Fiji Plugin for fast, variational 1D alignment of multichannel linescan data

Advanced Data Assimilation Algorithms and Methods

Implementation of neural coherent states, arXiv:2105.15193

My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark

Variational Cluster Approximation based on lanczos exact diagonalization.