Results 261 to 270 of about 846,274 (324)
Dynamic causal modelling in probabilistic programming languages. [PDF]
Baldy N, Woodman M, Jirsa VK, Hashemi M.
europepmc +1 more source
Generating Stable and Metastable Critical Points in Uncertain Systems via Flow‐Based Models
ABSTRACT This work proposes the use of conditional flow‐based generative models to learn an approximation of the distribution of the critical points of a cost function. This approximation is used to incrementally identify all critical points, in the feasible domain of said function, by iteratively alternating the sampling of the distribution and the ...
Callum Wilson, Massimiliano Vasile
wiley +1 more source
WF-PINNs: solving forward and inverse problems of burgers equation with steep gradients using weak-form physics-informed neural networks. [PDF]
Wang X, Yi S, Gu H, Xu J, Xu W.
europepmc +1 more source
ABSTRACT Measures of an organism's weight at a given length are often considered reliable indicators of energy reserves or ‘condition’, which can be related to fecundity and risk of mortality. Understanding the impact of environmental change on fish condition may therefore inform sustainable management of human activities in marine ecosystems.
Philina A. English +2 more
wiley +1 more source
Connections between sequential Bayesian inference and evolutionary dynamics. [PDF]
Pathiraja S, Wacker P.
europepmc +1 more source
Neurophysiological Progression in Alzheimer's Disease: Insights From Dynamic Causal Modelling of Longitudinal Magnetoencephalography. [PDF]
Jafarian A +15 more
europepmc +1 more source
Bayesian Workflow for Generative Modeling in Computational Psychiatry. [PDF]
Hess AJ +10 more
europepmc +1 more source
Bayesian inference for dependent stress-strength reliability of series-parallel system based on copula. [PDF]
Zhang L, Yan R, Wang J.
europepmc +1 more source

