Building Expressive and Tractable Probabilistic Generative Models: A Review

arXiv:2402.00759 · cs.LG, cs.AI · Submitted 2024-02-01 · Read on arXiv

cs.LG, cs.AI

Submitted: 2024-02-01

Updated: 2026-08-31

Terminology

• Generative Model — 20× in this paper · explained in 2 episodes
• Generative Models — 15× in this paper · explained in 2 episodes
• Normalizing Flow — 8× in this paper · explained in 3 episodes
• Normalizing Flows — 7× in this paper · explained in 4 episodes
• Generative Modeling — 6× in this paper · explained in 3 episodes
• Clustering — 5× in this paper · explained in 2 episodes
• Hybrid Models — 5× in this paper · explained in 2 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Causal Inference — 2× in this paper · explained in 4 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Latent Variable Distillation — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Computational Tractability — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Monte Carlo dropout — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

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