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20232025
most citedAnalyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.LG2024★ 1 cited

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…