Author

Marcelo Hartmann

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#artificial intelligence Preprint Oct 2026

Posterior sampling by source-space MCMC via prior-based few-step transport maps

Bayesian inference increasingly uses informative but implicit priors represented only by samples, such as historical ensembles, simulator outputs, and pretrained generative models. The same computational problem appears in the test-time guidance task (generalized Bayes), where an explicit positive weight, e.g., an expo...

Hoang Phuc Hau Luu, Marcelo Hartmann, Zhong-Jian Wang · 0 citations

#machine learning Mar 2026

Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process

This approach uses Aitchison geometry to map simplex-valued class probabilities to an unconstrained Euclidean representation, turning classification into a GP regression problem with fewer latent dimensions than standard multi-class GP classifiers.

Bernardo Williams, Harsha Vardhan Tetali, Arto Klami et al. · arXiv.org · 0 citations