MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for
Inverse Problems
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for
Inverse Problems
In many computational problems, using the Markov Chain Monte Carlo (MCMC) can be prohibitively time-consuming. We propose MCMC-Net, a simple yet efficient way to accelerate MCMC via neural networks. The key idea of our approach is to substitute the likelihood function of the MCMC method with a neural operator. We …