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Equation Discovery

Papers

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Showing 1–50 of 65 papers

TitleStatusHype
Discovering symbolic expressions with parallelized tree searchCode2
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsCode2
Mechanistic Neural Networks for Scientific Machine LearningCode1
LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsCode1
Probabilistic Grammars for Equation DiscoveryCode1
LLM4ED: Large Language Models for Automatic Equation DiscoveryCode1
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and ChallengesCode1
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkCode1
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
Symmetry-Informed Governing Equation DiscoveryCode1
Discovering stochastic dynamical equations from biological time series dataCode1
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingCode1
Transformer-based Planning for Symbolic RegressionCode1
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep LearningCode1
Knowledge-aware equation discovery with automated background knowledge extractionCode0
Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discoveryCode0
Amortized Equation Discovery in Hybrid Dynamical SystemsCode0
A toolkit for data-driven discovery of governing equations in high-noise regimesCode0
Automated Mathematical Equation Structure Discovery for Visual AnalysisCode0
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified UncertaintyCode0
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test caseCode0
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation DiscoveryCode0
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dotsCode0
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
Directed differential equation discovery using modified mutation and cross-over operatorsCode0
Equation discovery framework EPDE: Towards a better equation discoveryCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial EquationsCode0
Latent Space Symmetry DiscoveryCode0
Learning and Interpreting Potentials for Classical Hamiltonian SystemsCode0
Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular PopulationCode0
Neural-Guided Equation DiscoveryCode0
Towards true discovery of the differential equationsCode0
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models—0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Discovering interpretable Lagrangian of dynamical systems from data—0
KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data—0
The data-driven physical-based equations discovery using evolutionary approach—0
Towards stable real-world equation discovery with assessing differentiating quality influence—0
Discovering governing equation in structural dynamics from acceleration-only measurements—0
Discovering Causal Relations and Equations from Data—0
Data-driven PDE discovery with evolutionary approach—0
Data-driven discovery of stochastic dynamical equations of collective motion—0
MAntRA: A framework for model agnostic reliability analysis—0
Data-Driven Discovery of Coarse-Grained Equations—0
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