Software Engineering Meets Statistical Mechanics
Generative diffusion models undergo 2nd-order phase transitions related to symmetry breaking, key to their generative capabilities & characterized by mean-field critical exponents.
This is a Plain English Papers summary of a research paper called The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview Generative diffusion models have shown impressive performance in machine learning and generative modeling. While these models are based on ideas from non-equilibrium physics, variational inference, and stochastic calculus, this paper demonstrates that they can be understood...