Diffusion Models - PyTorch Implementation
Learn to implement and train diffusion models in PyTorch, covering unconditional and conditional versions, classifier-free guidance, and exponential moving average. Gain hands-on experience with state-of-the-art generative AI techniques.
Stanford CS236: Deep Generative Models - Score Based Diffusion Models - Lecture 16
Explore score-based diffusion models in deep generative modeling, covering theoretical foundations and practical applications in AI and machine learning.
Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18
Explore diffusion models for discrete data in this Stanford lecture, covering advanced techniques in deep generative modeling for AI applications.
Horizontal Transport in Atmospheric Mixing - Lecture 8
Explore atmospheric pollutant mixing through confined, unconfined, and wind-influenced scenarios. Learn about diffusion, wind effects, and temperature changes with altitude in this comprehensive lecture.
Deep Learning with Diffusion & Large Models
Explore cutting-edge deep learning techniques for CT reconstruction, focusing on diffusion models and large-scale neural networks to enhance image quality and diagnostic accuracy.
Fast Uncertainty Estimation and Diffusion Models in PET
Explore fast uncertainty estimation techniques and diffusion models for PET imaging, enhancing medical diagnostics and research applications.
Physics - Nonequilibrium Statistical Mechanics
Explore advanced concepts in nonequilibrium statistical mechanics, including Langevin models, linear response theory, Fokker-Planck equations, and critical phenomena, with practical applications and quizzes.
Biophysical Chemistry
Explore protein structure, folding mechanisms, and biophysical techniques. Gain insights into forces driving protein stability, denaturation processes, and experimental methods for studying protein dynamics.
Imagen: Text-to-Image Generation Using Diffusion Models - Lecture 9
Explore Imagen, a text-to-image diffusion model, covering its architecture, efficiency improvements, and key techniques like thresholding and upsampling.
Diffusion Models and Score-Based Generative Models Explained - From Scratch
Dive into a comprehensive 38-minute video lecture on Diffusion Models, exploring them through the lens of Score-Based Generative Models. Gain a deeper intuition for diffusion models, visualize key concepts, and understand the connections between differen…
Diffusion Models Towards High-Dimensional Generative Optimization
Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.
Protein Design with Generative Diffusion Models
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
Graph Signal Diffusion Model for Collaborative Filtering - Tutorial 2.2
Explore graph signal diffusion models for collaborative filtering in recommendation systems, enhancing predictive accuracy and user experience.
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Explore collaborative filtering using diffusion models, unveiling high-order connectivity potential in recommendation systems for enhanced user experiences.
Diffusion Models for Generative Outfit Recommendation - Session T2.2
Explore innovative diffusion models for generative outfit recommendations, enhancing personalized fashion suggestions through advanced machine learning techniques.
Generative AI Models Through the Lens of Dense Associative Memory
Explore Dense Associative Memories and their relationship to transformers and diffusion models. Gain insights into energy-based modeling and the memorization-generalization transition in AI.
How Well Does Diffusion Model Generate? Exploring Generalization in Emerging Settings
Explore the capabilities and limitations of diffusion models in generative tasks, focusing on emerging generalization settings and their implications.
Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations
Uncover the geometric foundations of diffusion models' generalization capabilities through adaptive harmonic representations in this insightful exploration.
Derivative-Free Guidance in Continuous and Discrete Diffusion Models
Explore derivative-free guidance in diffusion models for optimizing AI-generated designs while preserving naturalness. Learn about a new iterative sampling method integrating soft value functions into pre-trained models.
Kinetics - Reactor Design: Kinetic Mechanisms
Explore kinetic mechanisms in chemical engineering, covering topics like polymerization, enzyme reactions, and catalysis. Learn to derive rate expressions and analyze diffusion effects.
AQA Biology Paper 1 - Revision Playlist for Combined and Separate Science GCSE
Comprehensive GCSE Biology revision covering cell structure, organization, infection response, and bioenergetics. Includes quick-fire questions, practical experiments, and exam preparation for AQA 9-1 syllabus.