Understanding axial attention in TSFMs through single location regression
arXiv:2610.40188v1 Announce Type: new Abstract: Recent advances in Time Series Foundation Models (TSFMs) increasingly rely on axial attention mechanisms, but despite their empirical success, the theoretical properties of axial attention remain largely unexplored. To bridge this gap, we extend the S…
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- 2026-10-30 04:00 · arXiv stat.ML
Understanding axial attention in TSFMs through single location regression
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