2 papers
cs.LG2025
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
Andrey Savchenko, Oleg Kachan
Accurate forecasting of multivariate time series data remains a formidable challenge, particularly due to the growing complexity of temporal dependencies in real-world scenarios. W…
cs.LG2025
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
Oleg Kachan, Andrey Savchenko, Gleb Gusev
SMOTE (Synthetic Minority Oversampling Technique) is the established geometric approach to random oversampling to balance classes in the imbalanced learning problem, followed by ma…