RamanBench unifies 74 datasets into the first large-scale reproducible benchmark for ML on Raman spectra, finding tabular foundation models outperform baselines but no method generalizes across datasets.
The ucr time series archive.IEEE/CAA Journal of Automatica Sinica, 6(6):1293–1305
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MARS parallel reservoirs achieve up to 21x training speedups and outperform LRU, S5, and Mamba on long sequence benchmarks while remaining gradient-free and compact.
KairosHope proposes a HOPE block with dual-memory (Titans + CMS) and hybrid statistical-deep decision head for TSFM classification, pre-trained via MTSM and InfoNCE on Monash then adapted via LP-FT to UCR, claiming superior results on causal domains.
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Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
MARS parallel reservoirs achieve up to 21x training speedups and outperform LRU, S5, and Mamba on long sequence benchmarks while remaining gradient-free and compact.