Stanford University CS236: Deep Generative Models
In this course, we will study the probabilistic foundations and learning algorithms for deep generative models, including variational autoencoders, generative adversarial networks, …
Deep generative models design mRNA sequences with enhanced ...
Aug 28, 2025 · We introduce GEMORNA (generative models for RNA), a deep generative model capable of designing mRNA sequences with unprecedented translational capacity and durability.
Deep Generative Models: Complexity, Dimensionality, and …
Apr 1, 2025 · This novel insight not only corroborates the practical effectiveness of generative networks in handling complex data structures, but also underscores a critical trade-off between …
Deep Generative Models - Stanford Online
Recent advances in neural networks and gradient-based methods have made generative models essential for handling complex data in a wide range of applications. In this course, you will …
Deep Generative Modeling | SpringerLink
This revised and expanded book is a comprehensive introduction to Generative AI techniques, covering all major classes of deep generative models.
Deep Generative Modeling: From Probabilistic Framework to
Feb 25, 2025 · In the following articles, various deep generative models are presented (e.g., diffusion models, Variational Auto-Encoders, normalizing flows, etc.) and applied to …
Deep Generative Modeling: The Foundation of Modern Generative …
Sep 9, 2024 · Deep Generative Models are a class of machine learning models designed to learn the underlying distribution of data and generate new samples from it. These models don’t just …
MIT 6.S978: Deep Generative Models, Fall 2024
This is a seminar course that introduces concepts, formulations, and applications of deep generative models. It covers scenarios mainly in computer vision (images, videos, geometry) …
An introduction to deep generative modeling - Ruthotto - 2021 …
May 28, 2021 · Abstract Deep generative models (DGM) are neural networks with many hidden layers trained to approximate complicated, high-dimensional probability distributions using …
Deep Generative Models
In this practical, we will investigate the fundamentals of generative modelling – a machine learning framework that allows us to learn how to sample new unseen data points that match the...