Sunil YadavVariational AutoencodersIn this article, we will continue our discussion with variational autoencoders (VAEs) after covering DGM basics and AGM. Variational…Jan 2, 2023Jan 2, 2023
Sunil YadavDeep Autoregressive Models: A Quick IntroductionIn this blog, we will dive into deep autoregressive generative models (AGM). Autoregressive models originated from economics and social…Dec 26, 2022Dec 26, 2022
Sunil YadavDeep Generative modellingNowadays we see several real-world applications of synthetically generated data (see Figure 1), for example, solving the data imbalance…Oct 15, 2022Oct 15, 2022
Sunil YadavImplicit Vs Parametric 3D Shape RepresentationPros and Cons of these representationsOct 4, 2022Oct 4, 2022
Sunil YadavWhat is an OCT? How can it be a key diagnosis and monitoring tool in neurological disorders?What are neurological disorders? How to early diagnose and monitor effectively?Mar 23, 20221Mar 23, 20221
Sunil YadavGANs in Medical Image Analysis: Part 2How GANs are tackling the challenges in medical image analysis!Mar 21, 2022Mar 21, 2022
Sunil YadavGANs in Medical Image Analysis: Part 1How GANs are tackling the challenges in medical image analysis!Mar 19, 20221Mar 19, 20221
Sunil YadavKL divergence, JS divergence, and Wasserstein metric in Deep Learning3 key measures to compute the difference between probability distributions.Mar 9, 2022Mar 9, 2022
Sunil YadavNecessary Probability Concepts for Deep Learning: Part 1The minimum probability concepts a DL beginner should knowFeb 25, 2022Feb 25, 2022
Sunil Yadav3D point set processing in python: a quick overviewGeometry (point set/mesh) processing is vital in several applications including computer graphics, medical imaging, and remote sensing. In…Feb 18, 20221Feb 18, 20221