Lorenz Richter: An Optimal Control Perspective on Diffusion-Based Generative Modeling Published 2024-05-17 Download video MP4 360p Recommendations 1:00:22 Nathan Kutz: The Future of Governing Equations 1:32:01 Diffusion and Score-Based Generative Models 40:08 The Most Important Algorithm in Machine Learning 54:08 LLM Control Theory Seminar (April 2024) 1:31:18 "Quantum Computational Supremacy" lecture by Scott Aaronson 59:40 Flow Matching: Simplifying and Generalizing Diffusion Models | Yaron Lipman 3:46:15 Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications 47:27 Model Predictive Control from Scratch: Derivation and Python Implementation-Optimal Control Tutorial 50:05 6. Monte Carlo Simulation 47:35 Legendary SpaceX engineer Tom Mueller makes his own engines! 17:39 How I Understand Diffusion Models 1:50:46 A. Longa: A hands-on introduction to Graph Deep Learning, with examples in PyTorch Geometric (2/4) 03:06 Gradient Descent in 3 minutes 49:50 4. Stochastic Thinking 54:00 Cornell CS 6785: Deep Generative Models. Lecture 1: Course Introduction 24:07 Transformers, explained: Understand the model behind ChatGPT 56:05 21. Stochastic Differential Equations 12:30 The JWST Has Just Discovered the Most Distant Object, but What It Found Astounded Everyone! Similar videos 1:10:55 An Optimal Control Perspective on Diffusion-Based Generative Modeling | Julius Berner More results