Linear Algebra

Linear Algebra is the language of artificial intelligence, and this sub-category is where we speak it fluently. We dive into the math of tensors, matrix decompositions, and the spatial transformations that occur within every layer of a neural network. Discussions range from the practicalities of Eigenvalue computation to the theoretical properties of latent spaces. If you are interested in the geometric interpretation of model weights and the mathematical foundation of data representation, this is the place to engage with fellow theorists.