On the Dynamics of Inference and Learning

19 April 2022

Papers citing "On the Dynamics of Inference and Learning"

8 / 8 papers shown

Title
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
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information Dongseong Hwang ODL 21 4 0 21 May 2024
Wilsonian Renormalization of Neural Network Gaussian Processes Jessica N. Howard Ro Jefferson Anindita Maiti Z. Ringel BDL 60 3 0 09 May 2024
Hierarchical Neural Simulation-Based Inference Over Event Ensembles Lukas Heinrich S. Mishra-Sharma C. Pollard Philipp Windischhofer 8 4 0 21 Jun 2023
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 17 15 0 17 May 2023
The Inverse of Exact Renormalization Group Flows as Statistical Inference D. Berman Marc S. Klinger 14 15 0 21 Dec 2022
Conjugate Natural Selection Reilly P. Raab Luca de Alfaro Yang Liu 8 0 0 29 Aug 2022
Baryons from Mesons: A Machine Learning Perspective Y. Gal Vishnu Jejjala D. M. Peña Challenger Mishra AI4CE 23 10 0 23 Mar 2020