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This article addresses online variational estimation in state-space models. We focus on learning the smoothing distribution, i.e. the joint distribution of the latent states given the observations, using a variational approach together with Monte Car
Externí odkaz:
http://arxiv.org/abs/2402.02859
We consider the problem of state estimation in general state-space models using variational inference. For a generic variational family defined using the same backward decomposition as the actual joint smoothing distribution, we establish for the fir
Externí odkaz:
http://arxiv.org/abs/2206.00319
Akademický článek
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Autor:
Chagneux, Mathis, Le Corff, Sylvain, Gloaguen, Pierre, Ollion, Charles, Lepâtre, Océane, Bruge, Antoine
Litter is a known cause of degradation in marine environments and most of it travels in rivers before reaching the oceans. In this paper, we present a novel algorithm to assist waste monitoring along watercourses. While several attempts have been mad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37f30cec53c71bf56249e4ed000a9577