SOTAVerified

Model Discovery

discovering PDEs from spatiotemporal data

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 87 papers

TitleStatusHype
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models—0
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)Code0
Bi-Level optimization for parameter estimation of differential equations using interpolationCode0
Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems—0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers—0
Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency—0
Optimizing Hard Thresholding for Sparse Model Discovery—0
Discovering dynamical laws for speech gestures—0
Coordinated Ramp Metering Control based on Scalable Nonlinear Traffic Dynamics Model Discovery in a Large Network—0
SODAs: Sparse Optimization for the Discovery of Differential and Algebraic EquationsCode0
AutoToM: Automated Bayesian Inverse Planning and Model Discovery for Open-ended Theory of MindCode2
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and BeyondCode1
A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—0
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Towards Model Discovery Using Domain Decomposition and PINNsCode0
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model DiscoveryCode1
Data-driven model discovery with Kolmogorov-Arnold networks—0
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and AnalysisCode0
Scalable Sparse Regression for Model Discovery: The Fast Lane to InsightCode0
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations—0
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
Automated Statistical Model Discovery with Language Models—0
Operator Learning: Algorithms and Analysis—0
Process mining for self-regulated learning assessment in e-learning—0
Optimal Pricing for Data-Augmented AutoML Marketplaces—0
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches—0
On sparse regression, Lp-regularization, and automated model discovery—0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics—0
Naming Practices of Pre-Trained Models in Hugging Face—0
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning—0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODECode1
A Competitive Learning Approach for Specialized Models: A Solution for Complex Physical Systems with Distinct Functional Regimes—0
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence—0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial OptimizationCode0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning—0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
A new family of Constitutive Artificial Neural Networks towards automated model discoveryCode1
Shape-Aware Masking for Inpainting in Medical Imaging—0
Learning Sparse Nonlinear Dynamics via Mixed-Integer OptimizationCode1
Error-in-variables modelling for operator learning—0
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders—0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.