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OccamNet: A Fast Neural Model for Symbolic Regression at Scale
v1v2v3 (latest)

OccamNet: A Fast Neural Model for Symbolic Regression at Scale

16 July 2020
Owen Dugan
Rumen Dangovski
Allan dos Santos Costa
Samuel Kim
Pawan Goyal
J. Jacobson
M. Soljavcić
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Data-driven Discovery of Digital Twins in Biomedical Research
Data-driven Discovery of Digital Twins in Biomedical Research
Clémence Métayer
Annabelle Ballesta
Julien Martinelli
231
3
0
29 Aug 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
436
17
0
30 Mar 2025
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
S. J. Wetzel
Zakaria Patel
572
2
0
09 Sep 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
Ziming Liu
Pingchuan Ma
Yixuan Wang
Wojciech Matusik
Max Tegmark
471
186
0
19 Aug 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Owen Dugan
Donato Manuel Jimenez Beneto
Charlotte Loh
Zhuo Chen
Rumen Dangovski
Marin Soljacic
LRM
436
5
0
04 Jun 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
1.3K
1,543
0
30 Apr 2024
Learning Symbolic Rules over Abstract Meaning Representations for
  Textual Reinforcement Learning
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Subhajit Chaudhury
Sarathkrishna Swaminathan
Daiki Kimura
Prithviraj Sen
K. Murugesan
...
Michiaki Tatsubori
Achille Fokoue
Pavan Kapanipathi
Asim Munawar
Alexander G. Gray
NAI
233
8
0
05 Jul 2023
Transformer-based Planning for Symbolic Regression
Transformer-based Planning for Symbolic RegressionNeural Information Processing Systems (NeurIPS), 2023
Parshin Shojaee
Kazem Meidani
A. Farimani
Chandan K. Reddy
455
87
0
13 Mar 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network
  Approach to Symbolic Regression
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic RegressionIEEE Access (IEEE Access), 2023
Jiří Kubalík
Erik Derner
Robert Babuška
271
20
0
01 Feb 2023
Discovering ordinary differential equations that govern time-series
Discovering ordinary differential equations that govern time-series
Soren Becker
M. Klein
Alexander Neitz
Giambattista Parascandolo
Niki Kilbertus
AI4TS
125
5
0
05 Nov 2022
Discovering Sparse Interpretable Dynamics from Partial Observations
Discovering Sparse Interpretable Dynamics from Partial ObservationsCommunications Physics (Commun. Phys.), 2021
Peter Y. Lu
Joan Ariño Bernad
Marin Soljacic
AI4CE
228
38
0
22 Jul 2021
1
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