Simultaneous Optimization of Geodesics and Fréchet Means
Fuente:
arXiv
Saved in:
| Main Authors: | Rygaard, Frederik Möbius, Hauberg, Søren, Markvorsen, Steen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GEORCE: A Fast New Control Algorithm for Computing Geodesics
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
Time-dependent Zermelo navigation with tacking
by: Markvorsen, Steen, et al.
Published: (2025)
by: Markvorsen, Steen, et al.
Published: (2025)
Score Matching Riemannian Diffusion Means
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
by: Testa, Andrea, et al.
Published: (2025)
by: Testa, Andrea, et al.
Published: (2025)
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
by: Testa, Andrea, et al.
Published: (2025)
by: Testa, Andrea, et al.
Published: (2025)
A Likely Geometry of Generative Models
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
by: Rygaard, Frederik Möbius, et al.
Published: (2025)
Geodesics in the Deep Linear Network
by: Chen, Alan
Published: (2025)
by: Chen, Alan
Published: (2025)
Planar pseudo-geodesics and totally umbilic submanifolds
by: Markvorsen, Steen, et al.
Published: (2021)
by: Markvorsen, Steen, et al.
Published: (2021)
The convex hull of a convex space curve with four vertices
by: Bohr, Jakob, et al.
Published: (2018)
by: Bohr, Jakob, et al.
Published: (2018)
Counterfactual Explanations on Robust Perceptual Geodesics
by: Zaher, Eslam, et al.
Published: (2026)
by: Zaher, Eslam, et al.
Published: (2026)
Geometry Via Sprays on Frechet Manifolds
by: Eftekharinasab, Kaveh
Published: (2023)
by: Eftekharinasab, Kaveh
Published: (2023)
A Frobenius Theorem on Fréchet Manifolds
by: Eftekharinasab, Kaveh
Published: (2026)
by: Eftekharinasab, Kaveh
Published: (2026)
Criteria for parabolicity and hyperbolicity of conductive Riemannian manifolds
by: Garcia, Vicent Gimeno i, et al.
Published: (2025)
by: Garcia, Vicent Gimeno i, et al.
Published: (2025)
An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale
by: Javaloy, Adrián, et al.
Published: (2026)
by: Javaloy, Adrián, et al.
Published: (2026)
Jet Functors and Weil Algebras in Automatic Differentiation: A Geometric Analysis
by: Sangha, Amandip
Published: (2025)
by: Sangha, Amandip
Published: (2025)
Barycentric subspace analysis of network-valued data
by: Maignant, Elodie, et al.
Published: (2025)
by: Maignant, Elodie, et al.
Published: (2025)
Learning Beyond Euclid: Curvature-Adaptive Generalization for Neural Networks on Manifolds
by: Sarkar, Krisanu
Published: (2025)
by: Sarkar, Krisanu
Published: (2025)
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations
by: Bellaard, Gijs, et al.
Published: (2025)
by: Bellaard, Gijs, et al.
Published: (2025)
Roto-Translation Invariant Metrics on Position-Orientation Space
by: Bellaard, Gijs, et al.
Published: (2025)
by: Bellaard, Gijs, et al.
Published: (2025)
Flow Matching on Lie Groups
by: Sherry, Finn M., et al.
Published: (2025)
by: Sherry, Finn M., et al.
Published: (2025)
Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization
by: Kohli, Dhruv, et al.
Published: (2025)
by: Kohli, Dhruv, et al.
Published: (2025)
Deep Generative Models: Complexity, Dimensionality, and Approximation
by: Wang, Kevin, et al.
Published: (2025)
by: Wang, Kevin, et al.
Published: (2025)
Riemannian Integrated Gradients: A Geometric View of Explainable AI
by: Costanza, Federico, et al.
Published: (2025)
by: Costanza, Federico, et al.
Published: (2025)
Distance Measure Based on an Embedding of the Manifold of K-Component Gaussian Mixture Models into the Manifold of Symmetric Positive Definite Matrices
by: Vishwakarma, Amit, et al.
Published: (2025)
by: Vishwakarma, Amit, et al.
Published: (2025)
Fiber Bundle Networks: A Geometric Machine Learning Paradigm
by: Liu, Dong
Published: (2025)
by: Liu, Dong
Published: (2025)
Universal kernels via harmonic analysis on Riemannian symmetric spaces
by: Steinert, Franziskus, et al.
Published: (2025)
by: Steinert, Franziskus, et al.
Published: (2025)
Tangentially Aligned Integrated Gradients for User-Friendly Explanations
by: Simpson, Lachlan, et al.
Published: (2025)
by: Simpson, Lachlan, et al.
Published: (2025)
Staying on the Manifold: Geometry-Aware Noise Injection
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry
by: Diepeveen, Willem, et al.
Published: (2025)
by: Diepeveen, Willem, et al.
Published: (2025)
Riemannian Variational Flow Matching for Material and Protein Design
by: Zaghen, Olga, et al.
Published: (2025)
by: Zaghen, Olga, et al.
Published: (2025)
Hardness of Learning Neural Networks under the Manifold Hypothesis
by: Kiani, Bobak T., et al.
Published: (2024)
by: Kiani, Bobak T., et al.
Published: (2024)
Cartan moving frames and the data manifolds
by: Tron, Eliot, et al.
Published: (2024)
by: Tron, Eliot, et al.
Published: (2024)
Kernel-Gradient Drifting Models
by: Esteban-Casadevall, Maria, et al.
Published: (2026)
by: Esteban-Casadevall, Maria, et al.
Published: (2026)
Discretized Gradient Flow for Manifold Learning in the Space of Embeddings
by: Gold, Dara, et al.
Published: (2019)
by: Gold, Dara, et al.
Published: (2019)
Minimising Willmore Energy via Neural Flow
by: Hirst, Edward, et al.
Published: (2026)
by: Hirst, Edward, et al.
Published: (2026)
Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation
by: Eng, D Yang
Published: (2026)
by: Eng, D Yang
Published: (2026)
Steerable Neural ODEs on Homogeneous Spaces
by: Andersdotter, Emma, et al.
Published: (2026)
by: Andersdotter, Emma, et al.
Published: (2026)
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
by: Sun, Xingzhi, et al.
Published: (2024)
by: Sun, Xingzhi, et al.
Published: (2024)
Complex normalizing flows can almost be information Kähler-Ricci flows
by: Gracyk, Andrew
Published: (2026)
by: Gracyk, Andrew
Published: (2026)
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes
by: Benfenati, Alessandro, et al.
Published: (2024)
by: Benfenati, Alessandro, et al.
Published: (2024)
Similar Items
-
GEORCE: A Fast New Control Algorithm for Computing Geodesics
by: Rygaard, Frederik Möbius, et al.
Published: (2025) -
Time-dependent Zermelo navigation with tacking
by: Markvorsen, Steen, et al.
Published: (2025) -
Score Matching Riemannian Diffusion Means
by: Rygaard, Frederik Möbius, et al.
Published: (2025) -
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
by: Testa, Andrea, et al.
Published: (2025) -
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
by: Testa, Andrea, et al.
Published: (2025)