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• Generative Modeling by Estimating Gradients of the Data Distribution
  2019 · 988 citations
• InfoVAE: Information Maximizing Variational Autoencoders
  2017 · 371 citations
• Towards Deeper Understanding of Variational Autoencoding Models
  2017 · 129 citations
• Denoising Diffusion Implicit Models
  2020 · 102 citations
• Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
  2017 · 74 citations
• Maximum Likelihood Training of Score-Based Diffusion Models
  2021 · 46 citations
• Learning Hierarchical Features from Generative Models
  2017 · 37 citations
• The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
  2018 · 37 citations
• Understanding the Limitations of Variational Mutual Information Estimators
  2019 · 32 citations
• Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
  2018 · 19 citations
• Fair Generative Modeling via Weak Supervision
  2019 · 15 citations
• Meta-Amortized Variational Inference and Learning
  2019 · 11 citations
• Training Deep Energy-Based Models with f-Divergence Minimization
  2020 · 11 citations
• Improved Training with Curriculum GANs
  2018 · 10 citations
• On Distillation of Guided Diffusion Models
  2022 · 9 citations