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• Variational Dropout Sparsifies Deep Neural Networks
  2017 · 348 citations
• Variational Autoencoder with Arbitrary Conditioning
  2018 · 67 citations
• The Deep Weight Prior
  2018 · 16 citations
• Metropolis-Hastings view on variational inference and adversarial training
  2018 · 9 citations
• Variational Dropout via Empirical Bayes
  2018 · 7 citations
• A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
  2019 · 6 citations
• Doubly Semi-Implicit Variational Inference
  2018 · 4 citations
• Deterministic Decoding for Discrete Data in Variational Autoencoders
  2020 · 4 citations
• Importance Weighted Hierarchical Variational Inference
  2019 · 3 citations
• Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
  2024 · 3 citations
• Pairwise Augmented GANs with Adversarial Reconstruction Loss
  2018 · 2 citations
• Neural Diffusion Models
  2023 · 1 citations
• Adaptive Destruction Processes for Diffusion Samplers
  2025
• User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks
  2019
• Star-Shaped Denoising Diffusion Probabilistic Models
  2023