This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geometry. The key ...

Maximizing the information per the expected unit energy cost in biological neurons is vital in understanding the functionality of our nervous system and improving the bio-inspired nano-networks. Hence ...

This is achieved through the custom Python class gaussian_state, whose constructor arguments are. R, V --- numpy.ndarray mean quadrature vector and covariance matrix for the desired gaussian states; ...

Python module providing a framework to trace individual edges in an image using Gaussian process regression. - jaburke166/gaussian_process_edge_trace. Skip ... parameters and run algorithm on test ...

Quantification of polysome and nucleoid asymmetries within cells along the cell division cycle was achieved by fitting Gaussian functions (Python least squares optimization: scipy.optimize.curve_fit) ...