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• Compressed Sensing using Generative Models
  2017 · 291 citations
• CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
  2017 · 73 citations
• Soft Diffusion: Score Matching for General Corruptions
  2022 · 29 citations
• SGD Learns One-Layer Networks in WGANs
  2019 · 13 citations
• A Survey on Diffusion Models for Inverse Problems
  2024 · 9 citations
• Multiresolution Textual Inversion
  2022 · 7 citations
• Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
  2023 · 5 citations
• Instance-Optimal Compressed Sensing via Posterior Sampling
  2021 · 4 citations
• Composing Normalizing Flows for Inverse Problems
  2020 · 3 citations
• Provable Lipschitz Certification for Generative Models
  2021 · 1 citations
• Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
  2022 · 1 citations
• Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
  2024
• Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
  2019