Raja ParikshatNeRF from ScratchMotivating the explanation from computer graphicsJun 9, 2023Jun 9, 2023
Raja ParikshatinQLU.aiLatent Variable Model: Variational AutoencodersWhat are latent variable models? What is their objective, and how to formulate it so that they can be trained efficiently?Jun 15, 2022Jun 15, 2022
Raja ParikshatExpectation-Maximization (EM) Algorithm (Part 1)What is expectation-maximization? Explaining GMM (Gaussian Mixture Model) and deriving the general form of EM algorithm.Jan 23, 2022Jan 23, 2022
Raja ParikshatWasserstein GAN Paper ExplainedWhat is Wasserstein Distance? How it works and implement practically?Dec 24, 2021Dec 24, 2021
Raja ParikshatGenerative Adversarial Networks Loss And Optimal Point IntuitionIn this reading I will discuss the loss function of GANs and the optimal point of GANs training as described in 2014 research paper on…Nov 10, 2021Nov 10, 2021