GANS

Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI

Latent Space

Generative Adversarial Networks, mentioned as a technology used alongside PyTorch at CERN, which the speaker was wary of.

Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4

Lex Fridman

Generative Adversarial Networks, mentioned as a key ingredient for building agents that understand the world and potentially crucial for progress in reinforcement learning.

Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13

Lex Fridman

Generative Adversarial Networks, a technique for estimating probability densities, useful for realistic image generation but less enthusiastically viewed by Poggio for core intelligence problems.

Deep Learning Basics: Introduction and Overview

Lex Fridman

Generative Adversarial Networks, a class of machine learning frameworks where two neural networks compete to generate realistic data.

deeplearning.ai's Heroes of Deep Learning: Yoshua Bengio

DeepLearningAI

Generative Adversarial Networks, a popular technique in unsupervised learning that Bengio's group worked on.

⚡️Mercury: Ultra-Fast Diffusion LLMs — Estefano Ermon, CEO Inception Labs

Latent Space

Stanford CS229 Machine Learning | Spring 2026 | Lecture 11: Diffusion Models

Stanford Online

Generative Adversarial Networks, a class of machine learning frameworks used for generative modeling, which diffusion models have largely surpassed.