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Found 3 papers, 1 papers with code
Learning Transfer Operators by Kernel Density Estimation
These findings provide valuable insights for researchers and practitioners working on estimating the Frobenius-Perron operator and highlight the potential of density estimation techniques in this area of study.
Emergent hierarchy through conductance-based node constraints
The presence of hierarchy in many real-world networks is not yet fully explained.
Physics and Society
Entropic Causal Inference for Neurological Applications
The ultimate goal of cognitive neuroscience is to understand the mechanistic neural processes underlying the functional organization of the brain.
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