2 papers
cs.LG2026
DR-SNE: Density-Regularized Stochastic Neighbor Embedding
Maksim Kazanskii
Dimensionality-reduction methods such as t-SNE preserve local neighborhood structure but can substantially distort the local distribution of data. We introduce Density-Regularized…
cs.LG2026
Prior Distribution and Model Confidence
Maksim Kazanskii, Artem Kasianov
We study how the training data distribution affects confidence and performance in image classification models. We introduce Embedding Density, a model-agnostic framework that estim…