Generative Modeling with Bayesian Sample Inference
The episode explores the paper "Generative Modeling with Bayesian Sample Inference," a new framework that reframes data generation. Instead of adding noise, it treats sample creation as a process of refining belief. The discussion covers how this method achieves superior sample quality compared to existing models (BFNs and VDM) on benchmarks like ImageNet.