Learning Geometry and Topology via Multi-Chart Flows
Fuente:
arXiv
Guardado en:
| Autores principales: | Yu, Hanlin, Hauberg, Søren, Hartmann, Marcelo, Klami, Arto, Arvanitidis, Georgios |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
por: Yu, Hanlin, et al.
Publicado: (2025)
por: Yu, Hanlin, et al.
Publicado: (2025)
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
por: Williams, Bernardo, et al.
Publicado: (2025)
por: Williams, Bernardo, et al.
Publicado: (2025)
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
por: Yu, Hanlin, et al.
Publicado: (2023)
por: Yu, Hanlin, et al.
Publicado: (2023)
Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings
por: Gharib, Shayan, et al.
Publicado: (2025)
por: Gharib, Shayan, et al.
Publicado: (2025)
Riemannian Laplace Approximation with the Fisher Metric
por: Yu, Hanlin, et al.
Publicado: (2023)
por: Yu, Hanlin, et al.
Publicado: (2023)
Warped geometric information on the optimisation of Euclidean functions
por: Hartmann, Marcelo, et al.
Publicado: (2023)
por: Hartmann, Marcelo, et al.
Publicado: (2023)
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
Simplex-to-Euclidean Bijections for Categorical Flow Matching
por: Williams, Bernardo, et al.
Publicado: (2025)
por: Williams, Bernardo, et al.
Publicado: (2025)
Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions
por: Mohammadi, Hadi Beik, et al.
Publicado: (2024)
por: Mohammadi, Hadi Beik, et al.
Publicado: (2024)
Preferential Normalizing Flows
por: Mikkola, Petrus, et al.
Publicado: (2024)
por: Mikkola, Petrus, et al.
Publicado: (2024)
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process
por: Williams, Bernardo, et al.
Publicado: (2026)
por: Williams, Bernardo, et al.
Publicado: (2026)
Density Ratio Estimation with Conditional Probability Paths
por: Yu, Hanlin, et al.
Publicado: (2025)
por: Yu, Hanlin, et al.
Publicado: (2025)
Neural Contractive Dynamical Systems
por: Beik-Mohammadi, Hadi, et al.
Publicado: (2024)
por: Beik-Mohammadi, Hadi, et al.
Publicado: (2024)
Non-geodesically-convex optimization in the Wasserstein space
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2025)
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2025)
Score-Based Density Estimation from Pairwise Comparisons
por: Mikkola, Petrus, et al.
Publicado: (2025)
por: Mikkola, Petrus, et al.
Publicado: (2025)
Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
por: Yu, Hanlin, et al.
Publicado: (2026)
por: Yu, Hanlin, et al.
Publicado: (2026)
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
por: Miani, Marco, et al.
Publicado: (2024)
por: Miani, Marco, et al.
Publicado: (2024)
Staying on the Manifold: Geometry-Aware Noise Injection
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2025)
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2025)
Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
por: Rahiminasab, Zahra, et al.
Publicado: (2026)
por: Rahiminasab, Zahra, et al.
Publicado: (2026)
The Spacetime of Diffusion Models: An Information Geometry Perspective
por: Karczewski, Rafał, et al.
Publicado: (2025)
por: Karczewski, Rafał, et al.
Publicado: (2025)
A Likely Geometry of Generative Models
por: Rygaard, Frederik Möbius, et al.
Publicado: (2025)
por: Rygaard, Frederik Möbius, et al.
Publicado: (2025)
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
por: Testa, Andrea, et al.
Publicado: (2025)
por: Testa, Andrea, et al.
Publicado: (2025)
Counterfactual Explanations via Riemannian Latent Space Traversal
por: Pegios, Paraskevas, et al.
Publicado: (2024)
por: Pegios, Paraskevas, et al.
Publicado: (2024)
On the Identifiability of Tensor Ranks via Prior Predictive Matching
por: da Silva, Eliezer, et al.
Publicado: (2025)
por: da Silva, Eliezer, et al.
Publicado: (2025)
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
por: Roy, Hrittik, et al.
Publicado: (2025)
por: Roy, Hrittik, et al.
Publicado: (2025)
Decoder ensembling for learned latent geometries
por: Syrota, Stas, et al.
Publicado: (2024)
por: Syrota, Stas, et al.
Publicado: (2024)
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
por: Rozo, Leonel, et al.
Publicado: (2025)
por: Rozo, Leonel, et al.
Publicado: (2025)
Simultaneous Optimization of Geodesics and Fréchet Means
por: Rygaard, Frederik Möbius, et al.
Publicado: (2025)
por: Rygaard, Frederik Möbius, et al.
Publicado: (2025)
Don't Stop Me Yet: Sampling Loss Minima via Dissipative Riemannian Mechanics
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2026)
por: Jacobsen, Albert Kjøller, et al.
Publicado: (2026)
Gradients of Functions of Large Matrices
por: Krämer, Nicholas, et al.
Publicado: (2024)
por: Krämer, Nicholas, et al.
Publicado: (2024)
Identifying Metric Structures of Deep Latent Variable Models
por: Syrota, Stas, et al.
Publicado: (2025)
por: Syrota, Stas, et al.
Publicado: (2025)
Reducing Memorisation in Generative Models via Riemannian Bayesian Inference
por: Gegenfurtner, Johanna Marie, et al.
Publicado: (2026)
por: Gegenfurtner, Johanna Marie, et al.
Publicado: (2026)
Consecutive Preferential Bayesian Optimization
por: Erarslan, Aras, et al.
Publicado: (2025)
por: Erarslan, Aras, et al.
Publicado: (2025)
Variational Autoencoding of Dental Point Clouds
por: Ye, Johan Ziruo, et al.
Publicado: (2023)
por: Ye, Johan Ziruo, et al.
Publicado: (2023)
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
por: González-Duque, Miguel, et al.
Publicado: (2024)
por: González-Duque, Miguel, et al.
Publicado: (2024)
Learning to Taste: A Multimodal Wine Dataset
por: Bender, Thoranna, et al.
Publicado: (2023)
por: Bender, Thoranna, et al.
Publicado: (2023)
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content
por: López-Pérez, Miguel, et al.
Publicado: (2025)
por: López-Pérez, Miguel, et al.
Publicado: (2025)
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
por: Diepeveen, Willem, et al.
Publicado: (2024)
por: Diepeveen, Willem, et al.
Publicado: (2024)
Improving Adversarial Energy-Based Model via Diffusion Process
por: Geng, Cong, et al.
Publicado: (2024)
por: Geng, Cong, et al.
Publicado: (2024)
Ejemplares similares
-
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
por: Yu, Hanlin, et al.
Publicado: (2025) -
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
por: Williams, Bernardo, et al.
Publicado: (2025) -
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
por: Yu, Hanlin, et al.
Publicado: (2023) -
Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings
por: Gharib, Shayan, et al.
Publicado: (2025) -
Riemannian Laplace Approximation with the Fisher Metric
por: Yu, Hanlin, et al.
Publicado: (2023)