4 ms·
Which then cycles back to ML methods. Diffusion models are non-equilibrium stat mech. Sure building a better HMC algorithm might not be a good use of time, but
by tnecniv 3y ago
Which then cycles back to ML methods. Diffusion models are non-equilibrium stat mech.
Sure building a better HMC algorithm might not be a good use of time, but the spirit of MCMC is alive
- theGnuMe 3y agoYep. Capture the distribution you want to sample from by training a DNN on the data and then sample it via generative/diffusion. Basically the DNN is a learnt parametrized distribution and replaces the Markov chain. The adversarial training approach seems to me like a forward backward algorithm over the dataset anyway.
- 3abiton 3y agoBut does this validate OP's claim?