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• Hyperspherical Variational Auto-Encoders
  2018 · 104 citations
• Improving Variational Auto-Encoders using Householder Flow
  2016 · 83 citations
• DIVA: Domain Invariant Variational Autoencoders
  2019 · 67 citations
• VAE with a VampPrior
  2017 · 60 citations
• Sylvester Normalizing Flows for Variational Inference
  2018 · 39 citations
• Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow
  2017 · 16 citations
• On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
  2022 · 9 citations
• Learning Data Representations with Joint Diffusion Models
  2023 · 9 citations
• Hierarchical VampPrior Variational Fair Auto-Encoder
  2018 · 7 citations
• Super-resolution Variational Auto-Encoders
  2020 · 7 citations
• Exploring Continual Learning of Diffusion Models
  2023 · 4 citations
• Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
  2022 · 3 citations
• General Invertible Transformations for Flow-based Generative Modeling
  2020 · 1 citations
• Hierarchical VAE with a Diffusion-based VampPrior
  2024 · 1 citations
• Discouraging posterior collapse in hierarchical Variational Autoencoders using context
  2023