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• Latent Space Oddity: on the Curvature of Deep Generative Models
  2017 · 25 citations
• Variational Autoencoders with Riemannian Brownian Motion Priors
  2020 · 9 citations
• Hierarchical VAEs Know What They Don't Know
  2021 · 8 citations
• Bounds all around: training energy-based models with bidirectional bounds
  2021 · 5 citations
• Revisiting Active Sets for Gaussian Process Decoders
  2022 · 3 citations
• Geometrically Enriched Latent Spaces
  2020 · 2 citations
• Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry
  2022 · 2 citations
• Improving Adversarial Energy-Based Model via Diffusion Process
  2024 · 2 citations
• Visualizing Riemannian data with Rie-SNE
  2022 · 1 citations
• Variational Autoencoding of Dental Point Clouds
  2023 · 1 citations
• Pulling back information geometry
  2021
• Is an encoder within reach?
  2022
• Decoder ensembling for learned latent geometries
  2024