Bayesian Renormalization

17 May 2023

Papers citing "Bayesian Renormalization"

13 / 13 papers shown

Title
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 21 4 0 28 Oct 2024
GUD: Generation with Unified Diffusion Mathis Gerdes Max Welling Miranda C. N. Cheng DiffM 27 0 0 03 Oct 2024
Neural Entropy Akhil Premkumar DiffM 13 0 0 05 Sep 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 60 1 0 27 May 2024
Learning 3-Manifold Triangulations Francesco Costantino Yang-Hui He Elli Heyes Edward Hirst 33 0 0 15 May 2024
Wilsonian Renormalization of Neural Network Gaussian Processes Jessica N. Howard Ro Jefferson Anindita Maiti Z. Ringel BDL 62 3 0 09 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture Sergei Gukov James Halverson Fabian Ruehle AI4CE 36 16 0 20 Feb 2024
NCoder -- A Quantum Field Theory approach to encoding data David S. Berman Marc S. Klinger A. G. Stapleton AI4CE 35 2 0 01 Feb 2024
Renormalizing Diffusion Models Jordan S. Cotler Semon Rezchikov DiffM AI4CE 27 11 0 23 Aug 2023
The Inverse of Exact Renormalization Group Flows as Statistical Inference D. Berman Marc S. Klinger 14 15 0 21 Dec 2022
Statistical properties of large data sets with linear latent features P. Fleig I. Nemenman 26 5 0 08 Nov 2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group J. Erdmenger Kevin T. Grosvenor R. Jefferson 46 16 0 14 Jul 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021