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Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
AI Model Optimization: Attention, EasyCache & Quantization
Distributional Diffusion Models
AI Optimization Lecture 3: Distillation, Pruning, and Quantization
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Unleashing the Power of Discrete Optimization in the New Era of AI by Dr. Zharmagambetov, Meta
Compositional Reasoning with Diffusion Models
Quantization vs Pruning vs Distillation: Optimizing NNs for Inference
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization
[DL-1] Distributed Learning and Quantization
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Last Updated: August 15, 2026
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