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Tag: correlated

  • Stochastic Path Planning in Correlated Obstacle Fields

    Stochastic Path Planning in Correlated Obstacle Fields arXiv:2509.19559v1 Announce Type: new Abstract: We introduce the Stochastic Correlated Obstacle Scene (SCOS) problem, a navigation setting with spatially correlated obstacles of uncertain blockage status, realistically constrained sensors that provide noisy readings and costly disambiguation. Modeling the spatial correlation with Gaussian Random Field (GRF), we develop Bayesian belief…

  • Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data

    Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data arXiv:2412.16899v1 Announce Type: new Abstract: Variational Autoencoders (VAE) are widely used for dimensionality reduction of large-scale tabular and image datasets, under the assumption of independence between data observations. In practice, however, datasets are often correlated, with typical sources of correlation including spatial, temporal…