Latent Variable Models Courses and Certifications

USC Probability and Statistics Seminar

Latent Multimodal Functional Graphical Model Estimation

Explore latent graphical model estimation for multimodal functional data, focusing on brain connectivity analysis using simultaneous imaging techniques.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP - Latent Variable Models

Explore latent variable models in NLP, covering variational autoencoders, discrete variables, and practical applications. Gain insights into generative modeling and advanced neural network techniques.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Advanced NLP 2022 - Latent Variable Models

Explore advanced NLP concepts: latent variables, variational autoencoders, and their applications in natural language processing. Gain insights into generative models and feature learning.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Advanced NLP 2021 - Latent Variable Models

Explore advanced NLP concepts like variational autoencoders, discrete latent variables, and their applications in natural language processing tasks.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Alan Turing Institute

Interacting Particle Systems for Expectation Maximization in Latent Variable Models

Explore a novel interacting particle system for EM optimization in latent variable models, featuring Langevin diffusion analysis and non-asymptotic concentration bounds for maximum likelihood estimation.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Labroots

Interpretable Latent Variable Models Demonstrate Flexible Neural Control of Spinal Motor Units

Explore interpretable machine learning models for analyzing neural activity, focusing on spinal motor control and challenging the rigid control theory of motor unit function.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Probabilistic AI School

SDEs Are All You Need for Latent Variable Models

Explore stochastic differential equations for latent variable models, focusing on applications in probabilistic AI and machine learning.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Piecewise Deterministic Monte Carlo for Latent Variable Models - A Case Study

Explore the application and challenges of Piecewise Deterministic Monte Carlo methods in latent variable models, focusing on unbiased gradient properties and theoretical developments.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Alfredo Canziani

Joint Embedding Method and Latent Variable Energy Based Models

Explore joint embedding methods and latent variable energy-based models with Yann LeCun. Learn about predictive systems, inference, probabilistic models, and various training techniques for advanced machine learning applications.

• YouTube
• 1 hour 52 minutes
• On-Demand
• Free Video

Alfredo Canziani

Latent Variable Energy Based Models - Inference

Explore Latent Variable Energy Based Models and inference techniques, focusing on energy functions, manifold generation, and free energy computation in unconditional cases.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Alfredo Canziani

Contrastive Methods and Regularised Latent Variable Models

Explore contrastive methods and regularized latent variable models in energy-based models, covering self-supervised learning, autoencoders, sparse coding, and variational techniques for advanced machine learning applications.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video

Alfredo Canziani

Latent Variable Energy Based Models

Explore Latent Variable Energy Based Models (LV-EBMs) training, covering free energy concepts, loss functionals, and model manifolds. Learn practical implementation using PyTorch and gain insights into decoder learning and latent size selection.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

IEEE

Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

Explore techniques for parameter estimation in Gaussian mixture models and mixtures of linear regressions, focusing on dimension reduction and higher moments to overcome obstacles in learning latent variable models.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video