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• Automatic structured variational inference
  2020 · 10 citations
• Wasserstein Variational Inference
  2018 · 9 citations
• Spontaneous Symmetry Breaking in Generative Diffusion Models
  2023 · 7 citations
• Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
  2018 · 5 citations
• k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport
  2019 · 3 citations
• The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability
  2023 · 2 citations
• Deterministic training of generative autoencoders using invertible layers
  2022 · 1 citations
• The Information Dynamics of Generative Diffusion
  2025
• CoVAE: Consistency Training of Variational Autoencoders
  2025
• Entropic Time Schedulers for Generative Diffusion Models
  2025
• VCT: Training Consistency Models with Variational Noise Coupling
  2025
• Forward Amortized Inference for Likelihood-Free Variational Marginalization
  2018
• Perturbative estimation of stochastic gradients
  2019