3 papers
cs.LG2025
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman Sirot, Omri Azencot
Deep learning models with a large number of parameters, often referred to as over-parameterized models, have achieved exceptional performance across various tasks. Despite concerns…
cs.LG2024
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
Ilya Kaufman, Omri Azencot
Transformer models have consistently achieved remarkable results in various domains such as natural language processing and computer vision. However, despite ongoing research effor…
cs.LG2024
First-Order Manifold Data Augmentation for Regression Learning
Ilya Kaufman, Omri Azencot
Data augmentation (DA) methods tailored to specific domains generate synthetic samples by applying transformations that are appropriate for the characteristics of the underlying da…