Neural Networks and Quantum Field Theory

19 August 2020

Papers citing "Neural Networks and Quantum Field Theory"

17 / 17 papers shown

Title
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi Lei Wang K. Zhou AI4CE PINN 56 2 0 09 Jan 2025
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 26 4 0 28 Oct 2024
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective Taeyoung Kim Myungjoo Kang 30 0 0 04 Aug 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 64 0 0 10 Jun 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
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 32 16 0 17 May 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 39 7 0 22 Dec 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 35 15 0 16 Nov 2022
Phenomenological Model of Superconducting Optoelectronic Loop Neurons J. Shainline Bryce Primavera Saeed A. Khan 21 6 0 18 Oct 2022
On the Dynamics of Inference and Learning D. Berman J. Heckman Marc S. Klinger 24 10 0 19 Apr 2022
Contrasting random and learned features in deep Bayesian linear regression Jacob A. Zavatone-Veth William L. Tong Cengiz Pehlevan BDL MLT 28 26 0 01 Mar 2022
Unified field theoretical approach to deep and recurrent neuronal networks Kai Segadlo Bastian Epping Alexander van Meegen David Dahmen Michael Krämer M. Helias AI4CE BDL 37 20 0 10 Dec 2021
Representation Learning via Quantum Neural Tangent Kernels Junyu Liu F. Tacchino Jennifer R. Glick Liang Jiang Antonio Mezzacapo 24 60 0 08 Nov 2021
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 41 30 0 03 Aug 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
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective Geoff Pleiss John P. Cunningham 28 24 0 11 Jun 2021
Quantum field-theoretic machine learning Dimitrios Bachtis Gert Aarts B. Lucini AI4CE 19 28 0 18 Feb 2021