A Hyperfinite Framework for Score-Based Generative Modeling

The document is an arXiv RSS feed containing newly announced research papers in statistical machine learning and related areas. Topics include diffusion and score-based generative modeling, stochastic optimization, causal inference for unstructured outcomes, dynamic pricing, uncertainty quantification, reflected diffusions, Bayesian inference, tensor completion, GFlowNets, and neural-network representations. No cybersecurity vulnerabilities, exploits, malicious activity, or affected products are described.