"probabilistic models" Papers

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Normalizing Flows are Capable Models for Continuous Control

Raj Ghugare, Benjamin Eysenbach

Rao-Blackwellised Reparameterisation Gradients

Kevin H. Lam, Thang Bui, George Deligiannidis et al.

NEURIPS 2025arXiv:2506.07687

A Rate-Distortion View of Uncertainty Quantification

Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen et al.

ICML 2024arXiv:2406.10775

Explaining Probabilistic Models with Distributional Values

Luca Franceschi, Michele Donini, Cedric Archambeau et al.

ICML 2024spotlightarXiv:2402.09947

On the Independence Assumption in Neurosymbolic Learning

Emile van Krieken, Pasquale Minervini, Edoardo Ponti et al.

ICML 2024arXiv:2404.08458

Understanding Stochastic Natural Gradient Variational Inference

Kaiwen Wu, Jacob Gardner

ICML 2024arXiv:2406.01870