Abstract: Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Watch the step-by-step process of creating an architecture illustration using Photoshop. Perfect for architects and digital artists interested in architectural visualization and digital drawing ...
A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
Abstract: Gaussian process state-space models (GPSSMs) offer a principled framework for learning and inference in nonlinear dynamical systems with uncertainty quantification. However, existing GPSSMs ...
In this work, we introduce a conditional generative model for efficient high-dimensional Bayesian Optimisation, leveraging a Gaussian Process surrogate model alongside Gaussian Process prior ...