Proposes SDE sampler with state-dependent diffusion for HTDMs that induces self-regulating annealing, claimed necessary for heavy-tailed sampling.
t 3-variational autoencoder: Learning heavy-tailed data with student’s t and power divergence,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.ML 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Markov chain Phase-Type decoders in VAEs enable heavy-tailed generation where Gaussian decoders fail due to structural limitations from Lipschitz continuity.
citing papers explorer
-
Self-Regulating Annealing in Heavy-Tailed Diffusion Models
Proposes SDE sampler with state-dependent diffusion for HTDMs that induces self-regulating annealing, claimed necessary for heavy-tailed sampling.
-
Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models
Markov chain Phase-Type decoders in VAEs enable heavy-tailed generation where Gaussian decoders fail due to structural limitations from Lipschitz continuity.