# Energy-based models.

December 10, 2020 — November 11, 2021

approximation

Bayes

generative

likelihood free

Monte Carlo

neural nets

optimization

probabilistic algorithms

probability

statistics

unsupervised

Is there anything here? I have been given a few different as to what EBMs are. From the outside it looks like something about probabilistic NNs but using various tricks to avoid normalising.

That could describe posterior MCMC, of course, so I reckon there must be something extra here?

## 1 References

LeCun, Chopra, Hadsell, et al. 2006. “A Tutorial on Energy-Based Learning.” In

*Predicting Structured Data*.
Parshakova, Andreoli, and Dymetman. 2019. “Distributional Reinforcement Learning for Energy-Based Sequential Models.”

Schröder, Ou, Lim, et al. 2023. “Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.”