Bayesian RG Flow in Neural Network Field Theories

27 May 2024

Papers citing "Bayesian RG Flow in Neural Network Field Theories"

6 / 6 papers shown

Title
Wilsonian Renormalization of Neural Network Gaussian Processes Jessica N. Howard Ro Jefferson Anindita Maiti Z. Ringel BDL 47 3 0 09 May 2024
NCoder -- A Quantum Field Theory approach to encoding data David S. Berman Marc S. Klinger A. G. Stapleton AI4CE 23 2 0 01 Feb 2024
Normalizing flows for lattice gauge theory in arbitrary space-time dimension Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban AI4CE 34 30 0 03 May 2023
Structures of Neural Network Effective Theories cCaugin Ararat Tianji Cai Cem Tekin Zhengkang Zhang 35 5 0 03 May 2023
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group J. Erdmenger Kevin T. Grosvenor R. Jefferson 34 16 0 14 Jul 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020