The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...
This project implements a physics-informed neural network (PINN) that acts as a surrogate model for predicting key outcomes of the LPBF process (residual stress, porosity, geometric accuracy) based on ...
Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
The default dataset target is Kaggle's CIFAKE: Real and AI-Generated Synthetic Images: birdy654/cifake-real-and-ai-generated-synthetic-images That dataset has real CIFAR-style images and Stable ...
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