Zobrazeno 1 - 10
of 333
pro vyhledávání: '"Klein, Natalie"'
Given two probability densities on related data spaces, we seek a map pushing one density to the other while satisfying application-dependent constraints. For maps to have utility in a broad application space (including domain translation, domain ada
Externí odkaz:
http://arxiv.org/abs/2304.08673
In this work, we propose a novel generative model for mapping inputs to structured, high-dimensional outputs using structured conditional normalizing flows and Gaussian process regression. The model is motivated by the need to characterize uncertaint
Externí odkaz:
http://arxiv.org/abs/2212.07554
In many scientific applications, measured time series are corrupted by noise or distortions. Traditional denoising techniques often fail to recover the signal of interest, particularly when the signal-to-noise ratio is low or when certain assumptions
Externí odkaz:
http://arxiv.org/abs/2211.00080
Constructing probability densities for inference in high-dimensional spectral data is often intractable. In this work, we use normalizing flows on structured spectral latent spaces to estimate such densities, enabling downstream inference tasks. In a
Externí odkaz:
http://arxiv.org/abs/2108.08709
Because local field potentials (LFPs) arise from multiple sources in different spatial locations, they do not easily reveal coordinated activity across neural populations on a trial-to-trial basis. As we show here, however, once disparate source sign
Externí odkaz:
http://arxiv.org/abs/2104.10070
Autor:
Mulder, Thomas, Klein, Natalie
Publikováno v:
In Marine Policy January 2024 159