OccamNet: A Fast Neural Model for Symbolic Regression at Scale

16 July 2020

Papers citing "OccamNet: A Fast Neural Model for Symbolic Regression at Scale"

5 / 5 papers shown

Title
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 18 2 0 09 Sep 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 78 473 0 30 Apr 2024
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 19 4 0 05 Nov 2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science Julia Balla Sihao Huang Owen Dugan Rumen Dangovski Marin Soljacic 26 5 0 02 Oct 2022
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014