SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions

arXiv:2510.21330 · cs.LG, hep-lat, quant-ph · Submitted 2025-10-24 · Read on arXiv

cs.LG, hep-lat, quant-ph

Submitted: 2025-10-24

Updated: 2026-09-26

Terminology

• Mode Collapse — 22× in this paper · explained in 2 episodes
• Normalizing Flow — 14× in this paper · explained in 3 episodes
• Normalizing Flows — 9× in this paper · explained in 4 episodes
• Markov Chain Monte Carlo — 6× in this paper
• Generative Model — 5× in this paper · explained in 2 episodes
• Score Function — 5× in this paper · explained in 4 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Langevin Dynamics — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Independent Metropolis-Hastings — 2× in this paper
• Negative Log-Likelihood — 2× in this paper
• Acceptance Rate — 1× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Effective Sample Size — 1× in this paper
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

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