Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
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Updated
Sep 1, 2021 - Jupyter Notebook
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
Here I implemented a simulation to predict the outcome of the FIFA Men's World Cup 2022.
Transport solver for a two-terminal superconducting junction for probing a tight-binding mean-field structure
A project to study Hartree-Fock technique in 1-D
Factorized variational approximation using a univariate Gaussian distribution over a single variable x.
This repo provide numerical result of Caroli-de Gennes-Matricon(CdGM) mode and pair potential of an isolated quantum vortex in the two-dimensional superconductor .
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
Dashboard documentation for the simulating the evolution of object proportions under a mean field approach.
Hartree Fock corrections to nearly free electron Bloch bands
Model Reduction of the Approximate Master Equation for Epidemic Processes on Complex Networks
Path integral based Auxiliary field Monte-Carlo results for Fermionic Hubbard model using HF decoupling
Projects of the Statistical Learning Theory class at ETH Zurich
3 states magnetic model
A bi-virus epidemic model for networks with duty-cycled wireless sensors
Supplements the paper “Self-Aware Transport of Economic Agents” [SATHA] by Andrew Lyasoff
Mean field variational Gaussian process algorithm. This repository contains a python3 implementation of the variational mean field algorithm as described in the paper: Physical Review E. vol. 91, 2015, 012148.
A C++ program for solving the mean field equation in Holstein model and periodic Anderson model with Holstein phonons, with phonon displacement as the order parameter.
Numerical integration of mean-field equations for large-scale leaky integrate-and-fire neuronal network simulations incorporating synaptic plasticity via Graupner Brunel model. Includes support for a memory-induction stim-pop.
Mean field theory and cavity method implementation.
A collection of programs and scripts to solve and analyze the Kane-Mele-Hubbard model in a variety of (dynamical) mean-field settings
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