Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients

Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients

10 June 2024

Zachary Bastiani

Jacob Hochhalter

Papers citing "Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients"

19 / 19 papers shown

Title
Analytical Lyapunov Function Discovery: An RL-based Generative Approach Haohan Zou Jie Feng Hao Zhao Yuanyuan Shi 133 0 0 04 Feb 2025
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Zhihong Shao Peiyi Wang Qihao Zhu Runxin Xu Jun-Mei Song ... Haowei Zhang Mingchuan Zhang Yiming Li Yu-Huan Wu Daya Guo ReLM LRM 104 1,073 0 05 Feb 2024
Vertical Symbolic Regression via Deep Policy Gradient Nan Jiang Md Nasim Yexiang Xue 54 3 0 01 Feb 2024
Deep Generative Symbolic Regression Samuel Holt Zhaozhi Qian M. Schaar 45 31 0 30 Dec 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 61 45 0 13 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 41 78 0 06 Mar 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 58 31 0 22 Feb 2023
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 63 48 0 31 May 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 71 173 0 22 Apr 2022
Automated Learning of Interpretable Models with Quantified Uncertainty Geoffrey F. Bomarito Patrick E. Leser N. Strauss K. Garbrecht J. D. Hochhalter 48 11 0 12 Apr 2022
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform Carmelo Scribano Giorgia Franchini M. Prato Marko Bertogna 38 23 0 02 Mar 2022
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 147 259 0 29 Jul 2021
SymbolicGPT: A Generative Transformer Model for Symbolic Regression Mojtaba Valipour Bowen You Maysum Panju A. Ghodsi 36 93 0 27 Jun 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 78 179 0 11 Jun 2021
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 50 314 0 10 Dec 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 131 869 0 27 May 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 596 130,942 0 12 Jun 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 114 12,201 0 19 Dec 2013