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Research2026-06-26 · source-backed
A new paper argues most of the accuracy gap between Ridge regression and large time-series foundation models closes by tuning preprocessing rather than scaling architecture, using Ridge as a closed-form testbed where optimal hyperparameters can be read off directly. A pointed counter to "capacity unlocks accuracy." Exhaust cheap interpretable baselines before reaching for a foundation model.
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Both cover Most; reported by the same outlet (arxiv.org); overlapping topics (architecture, model).
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