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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 26–50 of 87 papers

TitleStatusHype
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Model discovery in the sparse sampling regimeCode0
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)Code0
A toolkit for data-driven discovery of governing equations in high-noise regimesCode0
DeepArchitect: Automatically Designing and Training Deep ArchitecturesCode0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Learning Cognitive Models using Neural Networks—0
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems—0
Learning Sparse Causal Models is not NP-hard—0
Mining Local Process Models—0
Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers—0
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks—0
Neuro-Reachability of Networked Microgrids—0
Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—0
On sparse regression, Lp-regularization, and automated model discovery—0
Operator Learning: Algorithms and Analysis—0
Optimizing Hard Thresholding for Sparse Model Discovery—0
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs—0
Pre and Post Counting for Scalable Statistical-Relational Model Discovery—0
Precision and Fitness in Object-Centric Process Mining—0
Process mining for self-regulated learning assessment in e-learning—0
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