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Introduction to Generative AI Models
Generative models are a class of machine learning models that aim to learn the underlying distribution of a given dataset and generate new data points that resemble the original data. These models have gained significant attention in recent years due to their ability to produce realistic and diverse samples of data, which can be useful in a wide range of applications. I will briefly present some common models such as variational autoencoders (VAE), diffusion models, and generative adversial networks.
Dr. Sylvain Faisan
Assistant Professor, Université de Strasbourg, Strasbourg, France
Monday, June 5, 2023 at 5:00 p.m. (UAE)