AI RESEARCH
GGMPs: Generalized Gaussian Mixture Processes
arXiv CS.LG
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ArXi:2603.10442v1 Announce Type: new Conditional density estimation is complicated by multimodality, heteroscedasticity, and strong non-Gaussianity. Gaussian processes (GPs) provide a principled nonparametric framework with calibrated uncertainty, but standard GP regression is limited by its unimodal Gaussian predictive form. We