Results 61 to 70 of about 254,988 (165)
Spectral Regularization for Diffusion Models
CoRRDiffusion models are typically trained using pointwise reconstruction objectives that are agnostic to the spectral and multi-scale structure of natural signals. We propose a loss-level spectral regularization framework that augments standard diffusion training with differentiable Fourier- and wavelet-domain losses, without modifying the diffusion ...
Satish Chandran +4 more
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Real-space spectral simulation of quantum spin models: Application to generalized Kitaev models
SciPost Physics CoreThe proliferation of quantum fluctuations and long-range entanglement presents an outstanding challenge for the numerical simulation of interacting spin systems with exotic ground states. Here, we present a toolset of Chebyshev polynomial-based iterative
Francisco M. O. Brito, Aires Ferreira
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Spectral Ripples in Normal and Electric Hearing Models
TechnologiesDevising a psychophysical test to assess spectral resolution has not been easy. Two tests that have been used previously are the spectral ripple test and the spectral-temporally modulated ripple test (SMRT).
Savine S. M. Martens +2 more
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Spectral Models for Subsidy Allocation in Industrial Systems
AppliedMathThis paper studies subsidy allocation in interconnected industrial systems using the spectral theory of positive matrices. The allocation is characterized by the Perron eigenvector of a cost matrix describing inter-factory interactions.
Gorenc Mateja
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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models
AgricultureThe outdoor spectral detection of winter jujube quality is affected by complex ambient light and surface heterogeneity, resulting in limited inversion accuracy.
Yabei Di +5 more
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Solution of the voter model by spectral analysis
Physical Review E, 2015 An exact spectral analysis of the Markov Propagator for the Voter model is presented for the complete graph, and extended to the complete bipartite graph and uncorrelated random networks. Using a well-defined Martingale approximation in diffusion-dominated regions of phase space, which is almost everywhere for the Voter model, this method is applied to
Pickering, William, Lim, Chjan
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Autoregressive models of singular spectral matrices
Automatica, 2012 This paper deals with autoregressive (AR) models of singular spectra, whose corresponding transfer function matrices can be expressed in a stable AR matrix fraction description [Formula: see text] with [Formula: see text] a tall constant matrix of full column rank and with the determinantal zeros of [Formula: see text] all stable, i.e. in [Formula: see
Anderson, Brian +3 more
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Remote Sensing, 2015 Ground-based estimates of aboveground wet (fresh) biomass (AWB) are an important input for crop growth models. In this study, we developed empirical equations of AWB for rice, maize, cotton, and alfalfa, by combining several in situ non-spectral and ...
Michael Marshall, Prasad Thenkabail
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Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG. [PDF]
Sci Rep, 2023 Paz-Linares D +9 more
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Model selection for spectral parameterization.
bioRxiv : the preprint server for biologyNeurophysiological brain activity comprises rhythmic (periodic) and arrhythmic (aperiodic) signal elements, which are increasingly studied in relation to behavioral traits and clinical symptoms. Current methods for spectral parameterization of neural recordings rely on user-dependent parameter selection, which challenges the replicability and ...
Wilson, Luc E. +3 more
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