Two-dimensional filtering of spatially uncorrelated white noise generates red along-track spectra in SWOT observations, matching observed power-law behavior at small scales.
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2026 2verdicts
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Neural feature maps create expressive kernels that enable fast, scalable, and consistent exact Gaussian process inference for regression and classification.
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The impact of two-dimensional filtering on white noise spectra in SWOT along-track observations
Two-dimensional filtering of spatially uncorrelated white noise generates red along-track spectra in SWOT observations, matching observed power-law behavior at small scales.
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Scalable Gaussian process inference via neural feature maps
Neural feature maps create expressive kernels that enable fast, scalable, and consistent exact Gaussian process inference for regression and classification.