arXiv stat.ML
· Papers
Revisiting Neural Processes via Fourier Transform and Volterra Series
arXiv:2606.01172v3 Announce Type: replace-cross Abstract: Modeling unknown latent functions from finite, irregularly sampled measurements is a recurring challenge across science and engineering. Neural processes (NPs), a family of probabilistic functional models, are promising solutions -- especially when endowed with