2 papers
cs.LG2025
SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions
Vikas Kanaujia, Vipul Arora
Unnormalized probability distributions are central to modeling complex physical systems across various scientific domains. Traditional sampling methods, such as Markov Chain Monte…
cs.LG2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
Vikas Kanaujia, Mathias S. Scheurer, Vipul Arora
Deep generative models complement Markov-chain-Monte-Carlo methods for efficiently sampling from high-dimensional distributions. Among these methods, explicit generators, such as N…