[WIP] Diffusion, Flow Survey
Generative [WIP] Diffusion, Flow Survey

Survey of Diffusion, Flow Models Keyword: Bayesian, VAE, Diffusion Models, Score Models, Schrodinger Bridge, Normalizing Flows, Rectified Flows, Neural ODE, Consistency Models Abstract

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Attentive Neural Processes
Bayesian Attentive Neural Processes

Hyunjik 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.

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Neural Processes
Bayesian Neural Processes

Marta Garnelo et al., 2018, arXiv Keyword: Bayesian, Process Problem: Data inefficiency, hard to train multiple datasets in one.

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Conditional Neural Processes
Bayesian Conditional Neural Processes

Marta 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.

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