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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
Mechanistic Neural Networks for Scientific Machine LearningCode1
LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsCode1
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
Symmetry-Informed Governing Equation DiscoveryCode1
Transformer-based Planning for Symbolic RegressionCode1
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingCode1
Discovering stochastic dynamical equations from biological time series dataCode1
LLM4ED: Large Language Models for Automatic Equation DiscoveryCode1
Probabilistic Grammars for Equation DiscoveryCode1
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep LearningCode1
Evaluating PDE discovery methods for multiscale modeling of biological signals—0
Governing Equation Discovery from Data Based on Differential Invariants—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Grammar-based Ordinary Differential Equation Discovery—0
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
Governing equation discovery of a complex system from snapshots—0
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data—0
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data—0
A dynamical systems based framework for dimension reduction—0
A non-autonomous equation discovery method for time signal classification—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Data-driven discoveries of Bäcklund transforms and soliton evolution equations via deep neural network learning schemes—0
Data-Driven Discovery of Coarse-Grained Equations—0
Data-driven discovery of stochastic dynamical equations of collective motion—0
Data-driven PDE discovery with evolutionary approach—0
Discovering Causal Relations and Equations from Data—0
Discovering governing equation in structural dynamics from acceleration-only measurements—0
Discovering interpretable Lagrangian of dynamical systems from data—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Equation Discovery for Nonlinear System Identification—0
KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems—0
MAntRA: A framework for model agnostic reliability analysis—0
Model-agnostic stochastic model predictive control—0
On the definition and importance of interpretability in scientific machine learning—0
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems—0
Quantum Model-Discovery—0
Statistical Mechanics of Dynamical System Identification—0
The data-driven physical-based equations discovery using evolutionary approach—0
Towards stable real-world equation discovery with assessing differentiating quality influence—0
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dotsCode0
Towards true discovery of the differential equationsCode0
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation DiscoveryCode0
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