Hugging Face Trending Papers

Learning to Trace Seiberg Dualities

Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical systems. In practice, though, it can often be computationally challenging to establish when two systems are dual, even when all of the "rules of the game" are well-known.

arXiv Machine Learning
Jul 31

Learning to Trace Seiberg Dualities

arXiv:2607. 28628v1 Announce Type: cross Abstract: Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical systems.

By Jonathan J. Heckman, Shani Meynet, Alessandro Mininno, Gary Shiu
arXiv Machine Learning
Jul 7

Graph Neural Networks for the Graphical Bootstrap

arXiv:2607. 03109v1 Announce Type: cross Abstract: We study a graph classification problem involving over 20 million graphs, arising from high-order perturbative computations of correlators in planar $\mathcal{N}=4$ super-Yang--Mills, a model closely related to the theory of the strong nuclear force.

By Rigers Aliaj, Gabriele Dian, Reza Doobary, Paul Heslop