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#Deep Generative Models

Showing: 31 courses
Stanford University

Machine Learning with Graphs - Fall 2019

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Comprehensive exploration of machine learning with graphs, covering network properties, community structures, graph neural networks, and their applications in various domains.
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19 Lesons
1 day 4 hours
On-Demand
Free-Video
Stanford University

Generative Models With Domain Knowledge for Weakly Supervised Clustering

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Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.
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26 Lesons
1 hour 1 minute
On-Demand
Free-Video
Stanford University

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

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Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Stanford University

Stanford CS236: Deep Generative Models - Lecture 13 - Score Based Models

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Explore score-based models in deep generative modeling, covering theoretical foundations and practical applications in this advanced Stanford lecture on AI and machine learning.
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1 Lesons
1 hour 22 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
Stanford University

Stanford CS236: Deep Generative Models - Score Based Diffusion Models - Lecture 16

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Explore score-based diffusion models in deep generative modeling, covering theoretical foundations and practical applications in AI and machine learning.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

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Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Lecture 2: Background

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Explore fundamental concepts and background for deep generative models, covering essential topics to build a strong foundation in this advanced machine learning field.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Energy Based Models - Lecture 12

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Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights into this powerful approach for modeling complex data distributions.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Normalizing Flows - Lecture 9

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Explore normalizing flows in deep generative models, focusing on their principles, applications, and recent advancements in this Stanford lecture by Prof. Stefano Ermon.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Energy Based Models - Lecture 14

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Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights from Stanford's expert on advanced generative modeling techniques.
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1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Stanford University

Evaluation of Generative Models - Stanford CS236 Deep Generative Models Lecture 15

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Explore evaluation methods for deep generative models, including metrics and techniques to assess model performance, quality, and effectiveness in various applications.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Stanford University

Stanford CS236: Deep Generative Models - Lecture 7 - Normalizing Flows

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Explore normalizing flows in deep generative models with Stanford's Stefano Ermon. Learn advanced techniques for creating flexible and expressive probability distributions in machine learning.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Stanford University

Stanford CS236 - Deep Generative Models - Lecture 1: Introduction

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Explore deep generative models with Stanford's Prof. Ermon. Learn key concepts, applications, and cutting-edge techniques in this comprehensive introduction to a rapidly evolving field of AI.
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1 Lesons
57 minutes
On-Demand
Free-Video
Institute for Advanced Study

Neural SDEs - Deep Generative Models in the Diffusion Limit - Maxim Raginsky

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Explore deep generative models through stochastic control, diffusion limits, and neural nets. Learn about efficient sampling, expressiveness quantification, and unbiased simulation techniques.
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14 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Fields Institute

Dynamical Systems in Deep Generative Modelling

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Explore the intersection of dynamical systems and deep generative modeling, uncovering innovative approaches for creating advanced AI models and understanding complex data patterns.
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1 Lesons
23 minutes
On-Demand
Free-Video
MITCBMM

Toward Brain Computer Interface - Deep Generative Models for Brain Reading

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Explore deep generative models for brain reading, covering GAN implementation, image reconstruction from brain signals, and evolving latent codes using genetic algorithms.
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12 Lesons
46 minutes
On-Demand
Free-Video
Data Science Conference

Model Validation Using Deep Generation of Stress Data

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Discover advanced techniques for model robustness validation through deep generative models, focusing on stress testing, performance assessment, and handling unlikely events in data science applications.
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1 Lesons
1 hour 1 minute
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
Lennart Svensson

Deep Generative Models and Stable Diffusion: Revolution in Visual Synthesis - Lecture by Björn Ommer

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Explore deep generative models, focusing on diffusion models and Stable Diffusion. Learn about visual synthesis advancements, efficiency improvements, and future developments in this cutting-edge field.
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5 Lesons
36 minutes
On-Demand
Free-Video
Open Data Science

Scientific Discovery and Unsupervised Disentanglement - Yair Weiss, PhD

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Explore scientific discovery and unsupervised disentanglement with Prof. Yair Weiss. Learn about ML for scientific discovery, deep generative models, and new possibility theorems in this insightful talk on machine learning advancements.
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6 Lesons
37 minutes
On-Demand
Free-Video
MITCBMM

Deep Generative Models for Speech and Images

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Explore deep learning's power in generating sounds and images, focusing on unsupervised learning and multiple levels of abstraction for advanced AI applications.
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6 Lesons
42 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

A Deep Generative Model for Molecular Graphs by Niloy Ganguly

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Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.
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25 Lesons
23 minutes
On-Demand
Free-Video
Fields Institute

SubLign- A Deep Generative Model for Clustering Censored Time-Series Data

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Explore a deep generative model for clustering censored time-series data, focusing on challenges, key ideas, and applications in machine learning.
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6 Lesons
30 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Deep Generative Models in Medicine - CGSI 2023

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Explore deep generative models in medicine, covering robustness, interpretability, missing data, language models, and diffusion techniques for improved medical applications and research.
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23 Lesons
32 minutes
On-Demand
Free-Video
Valence Labs

Identifiable Deep Generative Models via Sparse Decoding

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Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.
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8 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Black Hat

The Devil is in the GAN - Defending Deep Generative Models Against Adversarial Attacks

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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.
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20 Lesons
39 minutes
On-Demand
Free-Video
VinAI

Learning and Amortized Inference in Probabilistic Programs

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Explore probabilistic programming, amortized inference, and novel learning methods like reweighted wake-sleep and thermodynamic variational objective for efficient Bayesian inference in complex models.
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1 Lesons
1 hour 11 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