3 papers
hep-th2025
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems
Hyun-Sik Jeong, Hanse Kim, Keun-Young Kim +3
We apply physics-informed machine learning (PIML) to solve inverse problems in holography and classical mechanics, focusing on neural ordinary differential equations (Neural ODEs)…
hep-th2024
Correlation functions in expanding universes
Chanyong Park, Hanse Kim, Kyungchan Cho
By using the braneworld model, we investigate the time evolution of microscopic and macroscopic correlations in expanding universes. To describe the FLRW cosmologies in the hologra…
hep-th2023
Holographic description for correlation functions
Hanse Kim, Jitendra Pal, Chanyong Park
We study general correlation functions of various quantum field theories in the holographic setup. Following the holographic proposal, we investigate correlation functions via a ge…