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Equation Discovery

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TitleStatusHype
Evaluating PDE discovery methods for multiscale modeling of biological signals—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Governing Equation Discovery from Data Based on Differential Invariants—0
On the definition and importance of interpretability in scientific machine learning—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsCode2
Grammar-based Ordinary Differential Equation Discovery—0
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models—0
Neural-Guided Equation DiscoveryCode0
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkCode1
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data—0
Knowledge-aware equation discovery with automated background knowledge extractionCode0
Equation discovery framework EPDE: Towards a better equation discoveryCode0
KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems—0
Governing equation discovery of a complex system from snapshots—0
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems—0
Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discoveryCode0
Discovering governing equation in structural dynamics from acceleration-only measurements—0
Discovering symbolic expressions with parallelized tree searchCode2
Amortized Equation Discovery in Hybrid Dynamical SystemsCode0
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
Symmetry-Informed Governing Equation DiscoveryCode1
LLM4ED: Large Language Models for Automatic Equation DiscoveryCode1
LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsCode1
Statistical Mechanics of Dynamical System Identification—0
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 influence—0
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data—0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
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 Data—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Data-driven discovery of stochastic dynamical equations of collective motion—0
Transformer-based Planning for Symbolic RegressionCode1
Discovering interpretable Lagrangian of dynamical systems from data—0
MAntRA: A framework for model agnostic reliability analysis—0
Model-agnostic stochastic model predictive control—0
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-net—0
Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular PopulationCode0
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