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Ludwig Winkler

2 accepted papers

2024

Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models

ICML 2024poster

Generative modeling via stochastic processes has led to remarkable empirical results as well as to recent advances in their theoretical understanding. In principle, both space and time of the processes can be discrete or continuous. In this work, we study time-continuous Markov jump processes on dis…

Cited by 3SourcePDFScholar
2024

Fast and unified path gradient estimators for normalizing flows

ICLR 2024poster

Recent work shows that path gradient estimators for normalizing flows have lower variance compared to standard estimators, resulting in improved training. However, they are often prohibitively more expensive from a computational point of view and cannot be applied to maximum likelihood training in a…

Cited by 7SourcePDFScholar