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Achieve state-of-the-art multivariate time series imputation by binding CNN channels to Transformer heads, improving robustness to missing data by selectively down-weighting unreliable temporal patterns.
Encoder-decoder architectures can beat decoder-only transformers in novel view synthesis, overturning conventional wisdom with a compute-optimal design (SVSM) that slashes training costs.
