Deep Generative Models for Speech and Images
Explore deep learning's power in generating sounds and images, focusing on unsupervised learning and multiple levels of abstraction for advanced AI applications.
A Deep Generative Model for Molecular Graphs by Niloy Ganguly
Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.
SubLign- A Deep Generative Model for Clustering Censored Time-Series Data
Explore a deep generative model for clustering censored time-series data, focusing on challenges, key ideas, and applications in machine learning.
Deep Generative Models in Medicine - CGSI 2023
Explore deep generative models in medicine, covering robustness, interpretability, missing data, language models, and diffusion techniques for improved medical applications and research.
Identifiable Deep Generative Models via Sparse Decoding
Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.
The Devil is in the GAN - Defending Deep Generative Models Against Adversarial Attacks
Exploring vulnerabilities in Deep Generative Models, this talk introduces a threat model for training-time attacks and demonstrates backdooring techniques, while proposing effective detection methods through static and dynamic inspections.
Learning and Amortized Inference in Probabilistic Programs
Explore probabilistic programming, amortized inference, and novel learning methods like reweighted wake-sleep and thermodynamic variational objective for efficient Bayesian inference in complex models.
Deep Generative Models - Lectures 2 and 3
Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.
Introduction to Deep Generative Models
Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.
Deep Generative Models 1 - Lecture
Explore deep generative models with experts, covering fundamental concepts and advanced techniques in probabilistic AI. Gain insights into cutting-edge research and applications.