Distributed and parallel sampling from intractable distributions

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Latent Dirichlet Allocation coupled with Bayesian Time Series analyses

Receiver function inversion by reversible-jump Markov-chain Monte Carlo

Bayeisan inversion to recover Green's functions of receiver-side structures from teleseismic waveforms

Variance reduction in energy estimators accelerates the exponential convergence in deep learning (ICLR'21)

Examples of several Markov Chain Monte Carlo methods such as t walk, emcee,Hamiltonian MC, Parallel Tempering HMC applied to UQ in ODEs

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

Replica Exchange Monte Carlo using PyStan2

Parallel tempering code for an Ising spin glass (fortran90)

JuMP wrapper for NASA PySA (ft QUBODrivers.jl)

Algorithms for solving circuit-fault-diagnosis problems

Parallel Tempering Metropolis Monte Carlo

Algorithm for ATSP using SA and PT algorithms

Code for ABC-APTMC paper

Development of spot modeling code for Kepler data.

These are codes of toy physics models that contain building blocks for understanding the concept behind EVCCPMC

This repository contains the Python code associated with the scientific publication "Exploring Quantum Annealing Architectures: A Spin Glass Perspective".