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Found 4 papers, 1 papers with code
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
The time-series anomaly detection is one of the most fundamental tasks for time-series.
Regular Time-series Generation using SGM
We propose a conditional score network for the time-series generation domain.
SOS: Score-based Oversampling for Tabular Data
To our knowledge, we are the first presenting a score-based tabular data oversampling method.
Lévy Adaptive B-spline Regression via Overcomplete Systems
The estimation of functions with varying degrees of smoothness is a challenging problem in the nonparametric function estimation.
Methodology 62G08
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