A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
Harnessing the power of generative AI, researchers at Tsinghua University have developed AIGP—a diffusion-based generative ...
Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two ...
Abstract: We introduce a computationally efficient image reconstruction method that accelerates microwave tomographic imaging while maintaining the accuracy of traditional methods. The new method ...
LOS ANGELES — Victor Wembanyama is doing something wrong. The 7-foot-4 unicorn, still in the early stages of rewriting how basketball is played, just made a move few in the world can. But it’s the ...
Abstract: This letter addresses the distributed constrained optimization problem over multi-agent networks, where a group of agents collaboratively minimizes the average of their locally held ...
Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.
ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...
ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.
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