ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization

9 October 2023

Papers citing "ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization"

5 / 5 papers shown

Title
Interpretable Robotic Friction Learning via Symbolic Regression Philipp Scholl Alexander Dietrich Sebastian Wolf Jinoh Lee Alin Albu-Schäffer Gitta Kutyniok Maged Iskandar 7 0 0 19 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 36 0 0 09 May 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 53 0 0 24 Mar 2025
Generalizing the SINDy approach with nested neural networks Camilla Fiorini Clément Flint Louis Fostier Emmanuel Franck Reyhaneh Hashemi Victor Michel-Dansac Wassim Tenachi 78 1 0 28 Jan 2025
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 264 4,532 0 23 Jan 2020