Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold Model

17 June 2025

Papers citing "Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold Model"

9 / 9 papers shown

Title
Kolmogorov-Arnold Networks are Radial Basis Function Networks Ziyao Li 103 79 0 10 May 2024
A structured proof of Kolmogorov's Superposition Theorem S. Dzhenzher A. Skopenkov 19 3 0 02 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 500 2,444 0 18 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 608 4,893 0 23 Jan 2020
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 89 213 0 22 Apr 2019
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data M. Raissi A. Yazdani George Karniadakis AI4CE PINN 86 161 0 13 Aug 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,412 0 02 Dec 2015
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,283 0 09 Jun 2012