![[WIP] Diffusion, Flow Survey](/images/post/diffusion-survey/head.png)
Survey of Diffusion, Flow Models Keyword: Bayesian, VAE, Diffusion Models, Score Models, Schrodinger Bridge, Normalizing Flows, Rectified Flows, Neural ODE, Consistency Models Abstract
read moreSurvey of Diffusion, Flow Models Keyword: Bayesian, VAE, Diffusion Models, Score Models, Schrodinger Bridge, Normalizing Flows, Rectified Flows, Neural ODE, Consistency Models Abstract
read moreHyunjik kim et al., 2019, arXiv Keyword: Bayesian, Process Problem: Underfitting of Neural Process Solution: NP + Self-Attention, Cross-Attention Benefits: Improvement of prediction accuracy, training speed, model capability.
read moreMarta Garnelo et al., 2018, arXiv Keyword: Bayesian, Process Problem: Data inefficiency, hard to train multiple datasets in one.
read moreMarta Garnelo et al., 2018, arXiv Keyword: Bayesian, Process Problem: Weakness of knowledge sharing and data inefficiency of classical supervised learning Solution: Stochastic Process + NN Benefits: Data efficient, prior sharing Contribution: Encapsulation of parameterized NN function family.
read more