lucaambrogioni

5 ms·

1.
by lucaambrogioni 3y ago
The 1d example certainly breaks Z2, but since the thermodynamics is slightly different, you need to careful. For example, several exponents regulate the scaling with respect to the temperature, but theta is not, strictly speaking, a tempera
2.
by lucaambrogioni 3y ago
Hi Evanb, I am an author of the paper. Formally speaking, the phenomenon we studied resembles a second l-order phase transition similar to those in ferromagnetic materials. Keep in mind though that there are differences white conventional t
3.
The phase transition of creativity: Symmetry breaking in diffusion models(gabrielraya.com)
40 points by lucaambrogioni 3y ago|11 comments
4.
by lucaambrogioni 3y ago
The phenomenon of spontaneous symmetry breaking is behind the standard model of particle physics... it turns out it is also behind the generative powers of diffusion models! Check out our latest blog post! https://gabrielraya.com
5.
Show HN: Stochastic processes and timeseris analysis in Brancher(colab.research.google.com)
3 points by lucaambrogioni 7y ago|0 comments
6.
by lucaambrogioni 7y ago
Hi. The main difference with PyMC is that Brancher is build on the top of the deep learning library PyTorch. Every deep learning tool that is implemented in PyTorch can be used for constructing deep probabilistic models in Brancher. Also Py
7.
by lucaambrogioni 7y ago
Thank you!
8.
by lucaambrogioni 7y ago
Brancher is targeted to a wider audience, including people who have only a basic training in machine learning and Python programming. The interface is designed to be as close as possible to the math. The downside is that Brancher is less fl
9.
Show HN: Brancher – A user-friendly PyTorch module for probabilistic inference(brancher.org)
96 points by lucaambrogioni 7y ago|7 comments