Research map / Probabilistic and scientific modeling / Variational and generative sampling
Geodesic Calculus on Implicitly Defined Latent Manifolds
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Learning Flat Latent Manifolds with VAEs (ICML 2020 · similarity 0.88)
- Isometric Regularization for Manifolds of Functional Data (ICLR 2025 · similarity 0.87)
- Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models (NeurIPS 2025 · similarity 0.87)
- Mixed-curvature Variational Autoencoders (ICLR 2020 · similarity 0.86)
- Connecting Neural Models Latent Geometries with Relative Geodesic Representations (NeurIPS 2025 · similarity 0.85)
- Graph Geometry-Preserving Autoencoders (ICML 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.