← authors · overview

• Mode Regularized Generative Adversarial Networks
  2016 · 229 citations
• Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
  2017 · 175 citations
• Boundary-Seeking Generative Adversarial Networks
  2017 · 112 citations
• Small-GAN: Speeding Up GAN Training Using Core-sets
  2019 · 33 citations
• Improving and generalizing flow-based generative models with minibatch optimal transport
  2023 · 31 citations
• Variational Temporal Abstraction
  2019 · 24 citations
• Perceptual Generative Autoencoders
  2019 · 14 citations
• A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
  2016 · 6 citations
• A theory of continuous generative flow networks
  2023 · 6 citations
• Variance Regularizing Adversarial Learning
  2017 · 5 citations
• Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
  2025
• Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
  2025
• Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
  2024
• GFlowNet-EM for learning compositional latent variable models
  2023