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Equation Discovery

Papers

Showing 2650 of 65 papers

TitleStatusHype
Mechanistic Neural Networks for Scientific Machine LearningCode1
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial EquationsCode0
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dotsCode0
Towards stable real-world equation discovery with assessing differentiating quality influence0
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations0
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingCode1
Latent Space Symmetry DiscoveryCode0
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
Directed differential equation discovery using modified mutation and cross-over operatorsCode0
Towards true discovery of the differential equationsCode0
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation DiscoveryCode0
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and ChallengesCode1
Discovering Causal Relations and Equations from Data0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems0
Data-driven discovery of stochastic dynamical equations of collective motion0
Transformer-based Planning for Symbolic RegressionCode1
Discovering interpretable Lagrangian of dynamical systems from data0
MAntRA: A framework for model agnostic reliability analysis0
Model-agnostic stochastic model predictive control0
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified UncertaintyCode0
Discovering stochastic dynamical equations from biological time series dataCode1
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net0
Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular PopulationCode0
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