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 Lei Wang K. Zhou 26 4 0 28 Oct 2024
GUD: Generation with Unified Diffusion Mathis Gerdes Max Welling Miranda C. N. Cheng DiffM 32 1 0 03 Oct 2024
Neural Entropy Akhil Premkumar DiffM 26 0 0 05 Sep 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 68 1 0 27 May 2024
Learning 3-Manifold Triangulations Francesco Costantino Yang-Hui He Elli Heyes Edward Hirst 43 0 0 15 May 2024
Wilsonian Renormalization of Neural Network Gaussian Processes Jessica N. Howard Ro Jefferson Anindita Maiti Zohar Ringel BDL 80 3 0 09 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture Sergei Gukov James Halverson Fabian Ruehle AI4CE 47 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 37 11 0 23 Aug 2023
The Inverse of Exact Renormalization Group Flows as Statistical Inference D. Berman Marc S. Klinger 18 15 0 21 Dec 2022
Statistical properties of large data sets with linear latent features P. Fleig I. Nemenman 42 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 54 17 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 255 4,796 0 24 Feb 2021