Designing multi-layer (grayscale) masks from analytical and/or numerical (e.g. Gerchberg–Saxton) methods Designing single layer (binary) dithered masks from grayscale masks Designing rudimentary ...
This work is not intended to be used in professional environments, and there are no guarantees on its functionalities. Please do not rely on it for medical purposes or professional usage. Warning: in ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Despite its well-known lack of memory safety, C is still widely used to write both new code and to maintain legacy software. Extensive efforts to make C safe have not seen wide adoption due ...
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