Diffusion Models Courses and Certifications

HuggingFace

Diffusion Policy - LeRobot Research Presentation 2

Explore Diffusion Policy for robotic control with researcher Cheng Chi, covering innovative approaches to decision-making and action generation in complex environments.

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

MIT HAN Lab

Diffusion Models - Lecture 18

Dive into the fundamentals of diffusion models, exploring their architecture, principles, and applications in machine learning through expert guidance from MIT's Professor Song Han.

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

MIT HAN Lab

Diffusion Models - Lecture 18

Dive into the fundamentals of diffusion models with MIT Prof. Song Han, exploring their architecture, principles, and applications in machine learning and AI generation.

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

Valence Labs

Consistent Diffusion Meets Tweedie - Training Exact Ambient Diffusion Models with Noisy Data

Explore groundbreaking techniques for training diffusion models with corrupted data, using Tweedie's formula to generate high-quality samples while reducing memorization and privacy concerns.

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

MIT HAN Lab

Diffusion Models in Efficient Machine Learning - Lecture 16

Explore diffusion models in-depth, covering theory, applications, and efficient implementation techniques for advanced machine learning practitioners.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

MIT HAN Lab

Diffusion Models in Machine Learning - Lecture 16

Explore diffusion models in machine learning, covering theory, applications, and efficient implementation techniques for advanced AI image generation.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

USC Information Sciences Institute

Diffusion, Probability, and the Age of Creative AI

Explore diffusion models in AI art generation, their information-theoretic foundation, and improvements in density estimation, interpretability, and sampling speed.

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

Valence Labs

Fine-tuning Flow and Diffusion Generative Models

Explore reward fine-tuning for dynamical generative models through stochastic optimal control, featuring a novel Adjoint Matching algorithm for improved consistency and realism.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Valence Labs

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Explore Diffusion Forcing, a novel training paradigm combining next-token prediction and full-sequence diffusion for enhanced sequence generation and decision-making in AI applications.

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

Valence Labs

D-Flow: Differentiating through Flows for Controlled Generation

Explore D-Flow framework for controlled generation in AI models, optimizing source points through flow differentiation. Learn applications in inverse problems and conditional generation.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Valence Labs

Diffusion Models for Sampling Rare Events in Chemistry

Explore advanced diffusion models for generating transition state structures in chemical reactions, accelerating reaction mechanism discovery and network exploration.

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

Valence Labs

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Explore MultiDiffusion: a framework for controllable image generation using pre-trained diffusion models. Learn about panorama creation, high-resolution outputs, and versatile user controls without retraining.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Valence Labs

Generalization in Diffusion Models from Geometry-Adaptive Harmonic Representation

Explore generalization in diffusion models through geometry-adaptive harmonic representation. Analyze denoising DNNs, score functions, and inductive biases to understand high-dimensional density learning and optimal basis adaptation.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Valence Labs

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Explore advanced diffusion models with Consistency Trajectory Models, improving sample quality and efficiency in AI-driven image generation. Learn novel sampling techniques and state-of-the-art results.

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

Valence Labs

Particle Guidance: Non-I.I.D. Diverse Sampling with Diffusion Models

Explore particle guidance for diverse sampling in diffusion models, enhancing diversity and efficiency in generative tasks like image and molecular conformer generation.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video