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Found 5 papers, 5 papers with code
Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension
Despite their impressive performance in classification, neural networks are known to be vulnerable to adversarial attacks.
DADApy: Distance-based Analysis of DAta-manifolds in Python
DADApy is a python software package for analysing and characterising high-dimensional data manifolds.
The mechanism of RNA base fraying: molecular dynamics simulations analyzed with core-set Markov state models
We here use molecular dynamics simulations and Markov state models to characterize the kinetics of RNA fraying and its sequence and direction dependence.
Computational Physics Statistical Mechanics Biological Physics Chemical Physics Biomolecules
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Analyzing large volumes of high-dimensional data is an issue of fundamental importance in data science, molecular simulations and beyond.
Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering
The approach is based on an unsupervised extension of Density Peak clustering and a non-parametric density estimator that measures the probability density in the manifold containing the data.
