Extrapolation and learning equations

10 October 2016

Papers citing "Extrapolation and learning equations"

40 / 90 papers shown

Title
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression Jiří Kubalík Erik Derner Robert Babuška 69 12 0 01 Feb 2023
The Lost Art of Mathematical Modelling Linnéa Gyllingberg Abeba Birhane D. Sumpter 19 8 0 19 Jan 2023
Symbolic expression generation via Variational Auto-Encoder Sergei Popov Mikhail Lazarev V. Belavin D. Derkach Andrey Ustyuzhanin DRL 72 5 0 15 Jan 2023
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks Hector M. Perez-Villeda J. Piater Matteo Saveriano 33 9 0 16 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 95 8 0 13 Dec 2022
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N. Ranasinghe A. Ramanan S. Fernando P. N. Hameed D. Herath T. Malepathirana P. Suganthan M. Niranjan Saman K. Halgamuge 31 2 0 30 Nov 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 127 115 0 20 Nov 2022
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity Bhumika Mistry K. Farrahi Jonathon S. Hare AAML 40 0 0 10 Nov 2022
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning Mengge Du Yuntian Chen Dong-juan Zhang 58 0 0 04 Oct 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Yongtao Wu Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 85 11 0 16 Sep 2022
Deep Learning and Symbolic Regression for Discovering Parametric Equations Michael Zhang Samuel Kim Peter Y. Lu M. Soljavcić 72 21 0 01 Jul 2022
CoNSoLe: Convex Neural Symbolic Learning Haoran Li Yang Weng Hanghang Tong 86 9 0 01 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 114 51 0 31 May 2022
GSR: A Generalized Symbolic Regression Approach Tony Tohme Dehong Liu K. Youcef-Toumi 99 14 0 31 May 2022
Taylor Genetic Programming for Symbolic Regression Baihe He Qiang Lu Qingyun Yang Jake Luo Zhiguang Wang 59 31 0 28 Apr 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 108 178 0 22 Apr 2022
Discovering Governing Equations by Machine Learning implemented with Invariance Chao Chen Xiaowei Jin Hui Li PINN AI4CE 39 1 0 29 Mar 2022
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery Cristina Cornelio S. Dash V. Austel Tyler R. Josephson Joao Goncalves K. Clarkson N. Megiddo Bachir El Khadir L. Horesh AI4CE 96 7 0 03 Sep 2021
Inferring the Structure of Ordinary Differential Equations Juliane Weilbach S. Gerwinn Christian D. Weilbach M. Kandemir 59 3 0 05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 109 69 0 02 Jul 2021
SymbolicGPT: A Generative Transformer Model for Symbolic Regression Mojtaba Valipour Bowen You Maysum Panju A. Ghodsi 67 95 0 27 Jun 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 105 180 0 11 Jun 2021
Informed Equation Learning M. Werner Andrej Junginger Philipp Hennig Georg Martius 64 14 0 13 May 2021
Physics-informed Spline Learning for Nonlinear Dynamics Discovery Fangzheng Sun Yang Liu Hao Sun AI4CE 67 28 0 05 May 2021
Toward Neural-Network-Guided Program Synthesis and Verification N. Kobayashi Taro Sekiyama Issei Sato Hiroshi Unno NAI 101 3 0 17 Mar 2021
A Primer for Neural Arithmetic Logic Modules Bhumika Mistry K. Farrahi Jonathon S. Hare 33 8 0 23 Jan 2021
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks Gang Chen 42 9 0 12 Dec 2020
Estimating Multiplicative Relations in Neural Networks Bhaavan Goel 22 0 0 28 Oct 2020
Extrapolating false alarm rates in automatic speaker verification A. Sholokhov Tomi Kinnunen Ville Vestman Kong Aik Lee 34 1 0 08 Aug 2020
OccamNet: A Fast Neural Model for Symbolic Regression at Scale Owen Dugan Rumen Dangovski Allan dos Santos Costa Samuel Kim Pawan Goyal J. Jacobson M. Soljavcić 95 11 0 16 Jul 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 96 483 0 19 Jun 2020
Neural Status Registers Lukas Faber Roger Wattenhofer 35 9 0 15 Apr 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 85 26 0 01 Apr 2020
Data-Driven Discovery of Coarse-Grained Equations Joseph Bakarji D. Tartakovsky 107 32 0 30 Jan 2020
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery Samuel Kim Peter Y. Lu Srijon Mukherjee M. Gilbert Li Jing V. Ceperic Marin Soljacic 69 171 0 10 Dec 2019
Visual Physics: Discovering Physical Laws from Videos Pradyumna Chari Chinmay Talegaonkar Yunhao Ba A. Kadambi PINN 41 10 0 27 Nov 2019
The autofeat Python Library for Automated Feature Engineering and Selection F. Horn R. Pack M. Rieger 127 98 0 22 Jan 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 89 553 0 30 Nov 2018
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 79 237 0 19 Jun 2018
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 80 86 0 11 Oct 2017