SOTAVerified

Model Discovery

discovering PDEs from spatiotemporal data

Papers

Showing 76–87 of 87 papers

TitleStatusHype
Learning Cognitive Models using Neural Networks—0
Recursion Aware Modeling and Discovery For Hierarchical Software Event Log Analysis (Extended)—0
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems—0
DeepArchitect: Automatically Designing and Training Deep ArchitecturesCode0
Mining Local Process Models—0
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System—0
FactorBase: SQL for Learning A Multi-Relational Graphical Model—0
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks—0
GPTIPS 2: an open-source software platform for symbolic data mining—0
Proof Supplement - Learning Sparse Causal Models is not NP-hard (UAI2013)—0
Learning Sparse Causal Models is not NP-hard—0
A Nonparametric Bayesian Approach to Acoustic Model Discovery—0
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