gaussian-random-field

A simple software for constructing artificial binary microstructures in 2D or 3D

Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.

Official reproducible material for Conditional Image Prior for Uncertainty Quantification in Full Waveform Inversion

Deep Gaussian Markov Random Fields and their extensions

Source code for the paper: "Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation"

Implementation of microtexture inpainting method using a probabilistic model.

Code for "Measuring the substructure mass power spectrum of 23 SLACS strong galaxy-galaxy lenses with convolutional neural networks"

Simulate the correlated stochastic noise in multiple-spin shuttling problem.

Code for reproducing the results of the paper "A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling"

Simulation algorithm for non-stationary multivariate space-time Gaussian random fields based on Gaussian Mixtures

mlq4st : Machine Learning Quantile regression for Space-Time processes

Spring 2021 - Automation of Scientific Research - course project

A few proofs and examples related to ML/Prob and Optimisation

Cholesky_Midpoint_RF is a MATLAB project for generating 2D Gaussian random fields on structured grids. It provides multiple covariance kernels, solver backends, visualization/export utilities, benchmarking scripts, and a backward-compatible legacy entry point.

A package to generate fast exact multivariate Gaussian fields with flexible covariance structures

Fast and exact simulation of multivariate Gaussian Random Fields (GRFs) using circulant embedding and FFT-based spectral methods.

Implementation of Multigrid Monte Carlo for posterior sampling in spatial statistics

Source code for the paper: "Multimodal HarDNet for Enhanced Weakly Supervised Chronic Wound Segmentation"