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#Latent Variable Models

Showing: 27 courses
Alexander Amini

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.
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15 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 5: Variational Autoencoders

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Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Alexander Amini

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.
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12 Lesons
41 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.
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23 Lesons
44 minutes
On-Demand
Free-Video
Institute for Advanced Study

Latent Stochastic Differential Equations for Irregularly-Sampled Time Series - David Duvenaud

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Explore advanced techniques for analyzing irregularly-sampled time series data using latent stochastic differential equations, with applications in predictive modeling and continuous-time machine learning.
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17 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Institute for Advanced Study

Energy-Based Approaches to Representation Learning - Yann LeCun

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Explore energy-based approaches to representation learning with Yann LeCun, covering self-supervised learning, video prediction, and sparse modeling in high-dimensional spaces.
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19 Lesons
40 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Tensor Decompositions and Their Applications

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Explore advanced tensor decomposition techniques and their applications in latent variable models, phylogenetics, mixture models, and orbit retrieval with MIT's Ankur Moitra.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Tensor Decompositions and Their Applications

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Explore tensor decompositions and their applications in latent variable models, focusing on Jennrich's algorithm and its use in various fields like phylogenetics and mixture models.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Smoothed Analysis for Tensor Decompositions and Unsupervised Learning

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Explore smoothed analysis for tensor decompositions and unsupervised learning, focusing on polynomial time guarantees and robust decompositions of symmetric overcomplete tensors.
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1 Lesons
33 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Latent Multimodal Functional Graphical Model Estimation

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Explore latent graphical model estimation for multimodal functional data, focusing on brain connectivity analysis using simultaneous imaging techniques.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Valence Labs

Causal Discovery and Representation Learning - Day 4

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Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Probabilistic AI School

SDEs Are All You Need for Latent Variable Models

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Explore stochastic differential equations for latent variable models, focusing on applications in probabilistic AI and machine learning.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Labroots

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

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Explore interpretable machine learning models for analyzing neural activity, focusing on spinal motor control and challenging the rigid control theory of motor unit function.
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1 Lesons
24 minutes
On-Demand
Free-Video
Yannic Kilcher

Topographic VAEs Learn Equivariant Capsules - Machine Learning Research Paper Explained

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Explore Topographic VAEs: a novel approach to deep generative models with organized latent variables, bridging topographic organization and equivariance in neural networks for improved feature learning and transformation handling.
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10 Lesons
32 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Latent Variable Models

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Explore latent variable models in NLP, covering variational autoencoders, discrete variables, and practical applications. Gain insights into generative modeling and advanced neural network techniques.
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21 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP 2022 - Latent Variable Models

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Explore advanced NLP concepts: latent variables, variational autoencoders, and their applications in natural language processing. Gain insights into generative models and feature learning.
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20 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP 2021 - Latent Variable Models

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Explore advanced NLP concepts like variational autoencoders, discrete latent variables, and their applications in natural language processing tasks.
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21 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, VAEs, GANs, and diffusion models. Learn about latent variables, training techniques, and recent advances in generative AI.
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17 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Embedding as a Tool for Algorithm Design

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Explore embedding algorithms for structured data prediction, combinatorial optimization, and dynamic network processes. Learn innovative approaches to algorithm design using latent variable models and mean field techniques.
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20 Lesons
1 hour 8 minutes
On-Demand
Free-Video
MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

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Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.
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17 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Alan Turing Institute

Interacting Particle Systems for Expectation Maximization in Latent Variable Models

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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.
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12 Lesons
27 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling - MIT 6.S191 Lecture 4

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Explore deep generative modeling, including autoencoders, VAEs, GANs, and recent advances. Learn about latent variables, training techniques, and applications in AI-driven content creation and data analysis.
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15 Lesons
56 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Latent User Intent Modeling in Recommender Systems

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Explore latent variable models for capturing user intents in recommender systems, enhancing understanding beyond item-level interactions.
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1 Lesons
25 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

A Cookbook for Deep Continuous-Time Predictive Models

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Explore deep continuous-time predictive models for irregularly-sampled time series, from feedforward approaches to latent-variable stochastic differential equations.
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20 Lesons
47 minutes
On-Demand
Free-Video
Probabilistic AI School

Deep Generative Models - Lectures 2 and 3

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Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Probabilistic AI School

Introduction to Deep Generative Models

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Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.
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1 Lesons
2 hours
On-Demand
Free-Video
Probabilistic AI School

Deep Generative Models 1 - Lecture

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Explore deep generative models with experts, covering fundamental concepts and advanced techniques in probabilistic AI. Gain insights into cutting-edge research and applications.
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1 Lesons
2 hours 23 minutes
On-Demand
Free-Video