4 papers
The simplest event shape in super Yang--Mills
Carlos Bercini, Sidhaarth Kumar
We study two-point event shapes in planar super Yang--Mills, with source, sink and detectors given in terms of half-BPS scalars and their light transforms. Akin to…
Neural Spectral Bias and Conformal Correlators II: Modular and Annulus Bootstrap
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
We develop a neural network bootstrap framework for reconstructing partition functions of two-dimensional conformal field theories (CFTs) based on modular invariance and the Cardy…
Neural Spectral Bias and Conformal Correlators I: Introduction and Applications
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
We demonstrate that simple feed-forward neural networks (NNs) can accurately compute correlation functions of conformal field theories (CFTs) on a line. Strikingly, by optimising a…
Neural Networks Reveal a Universal Bias in Conformal Correlators
Kausik Ghosh, Sidhaarth Kumar, Vasilis Niarchos +1
We propose that simple neural networks (NNs) trained on crossing symmetry can reconstruct conformal correlators restricted to a line to remarkable accuracy. The input is minimal: a…