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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 51–87 of 87 papers

TitleStatusHype
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
Shape-Aware Masking for Inpainting in Medical Imaging—0
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
Quantum Model-Discovery—0
Causal KL: Evaluating Causal Discovery—0
A toolkit for data-driven discovery of governing equations in high-noise regimesCode0
Pre and Post Counting for Scalable Statistical-Relational Model Discovery—0
Precision and Fitness in Object-Centric Process Mining—0
Discovering PDEs from Multiple ExperimentsCode0
Feature Recommendation for Structural Equation Model Discovery in Process Mining—0
Sparsistent Model DiscoveryCode0
Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equationsCode0
Fully differentiable model discovery—0
Model discovery in the sparse sampling regimeCode0
Neuro-Reachability of Networked Microgrids—0
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs—0
Causal Inductive Synthesis Corpus—0
Discovery of Governing Equations with Recursive Deep Neural Networks—0
Learning Equations from Biological Data with Limited Time SamplesCode0
Computational model discovery with reinforcement learning—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
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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