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Equation Discovery

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Showing 1–50 of 65 papers

TitleStatusHype
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsCode2
Discovering symbolic expressions with parallelized tree searchCode2
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkCode1
Symmetry-Informed Governing Equation DiscoveryCode1
LLM4ED: Large Language Models for Automatic Equation DiscoveryCode1
LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsCode1
Mechanistic Neural Networks for Scientific Machine LearningCode1
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingCode1
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and ChallengesCode1
Transformer-based Planning for Symbolic RegressionCode1
Discovering stochastic dynamical equations from biological time series dataCode1
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep LearningCode1
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
Probabilistic Grammars for Equation DiscoveryCode1
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
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
On the definition and importance of interpretability in scientific machine learning—0
Grammar-based Ordinary Differential Equation Discovery—0
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models—0
Neural-Guided Equation DiscoveryCode0
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
Amortized Equation Discovery in Hybrid Dynamical SystemsCode0
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
Statistical Mechanics of Dynamical System Identification—0
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
Latent Space Symmetry DiscoveryCode0
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
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
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
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