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cs.LG2025
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
Utsav Dutta, Sina Khoshfetrat Pakazad, Henrik Ohlsson
Traditional time series models are task-specific and often depend on dataset-specific training and extensive feature engineering. While Transformer-based architectures have improve…
cs.LG2019
Expert-guided Regularization via Distance Metric Learning
Shouvik Mani, Mehdi Maasoumy, Sina Pakazad +1
High-dimensional prediction is a challenging problem setting for traditional statistical models. Although regularization improves model performance in high dimensions, it does not…