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V. Elvira

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Open access Sep 2026

Entropies and Negentropies from f -Divergences and Their Application to Dimensionality Reduction

A unified information-theoretic framework for dimensionality reduction of finite distributions is provided, clarifying the structural role of f -divergence-based entropies and negentropies and their relation to classical information measures.

M. Sbert, Min Chen, Jordi Poch et al. · 0 citations
Preprint Aug 2026

Scalable estimation of VARMA models

It is proved that both recover the infinite-autoregressive representation of the true process at a near-parametric rate in fixed dimension, so the truncation introduces no asymptotic bias.

D. Paulin, V. Elvira · 0 citations

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants

This paper proposes a novel flow matching method that overcomes the limitations of existing multi-marginal trajectory inference algorithms, using a GAN-inspired adversarial loss to fit neurally parametrised interpolant curves between source and target points such that the marginal distributions at intermediate time poi...

Oskar Kviman, Kirill Tamogashev, Nicola Branchini et al. · 2 citations

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