2 citations · 2 across the 7 of their papers we have counts for
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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…
Redundancy Channels in the Conformal Bootstrap
Stefanos R. Kousvos, Andreas Stergiou
A method for obstructing symmetry enhancement in numerical conformal bootstrap calculations is proposed. Symmetry enhancement refers to situations where bootstrap studies initialis…
Fine Spectrum from Crude Analytic Bootstrap
Jake Belton, Nadav Drukker, Ziwen Kong +1
The magnetic line defect in the model gives rise to a non-trivial one-dimensional defect conformal field theory of theoretical and experimental value. This model is consider…
Transdimensional Defects
Elia de Sabbata, Nadav Drukker, Andreas Stergiou
This note introduces a novel paradigm for conformal defects with continuously adjustable dimensions. Just as the standard expansion interpolates between integer space…