| Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces
|
2023 |
Maignant, Elodie |
| Three Methods to Put a Riemannian Metric on Shape Space
|
2023 |
Tumpach, Alice Barbora |
| On Canonical Parameterizations of 2D-Shapes
|
2023 |
Tumpach, Alice Barbora |
| Shape Spaces of Nonlinear Flags
|
2023 |
Ciuclea, loana |
| On a Cornerstone of Bare-Simulation Distance/Divergence Optimization
|
2023 |
Broniatowski, Michel |
| Empirical Likelihood with Censored Data
|
2023 |
Boukeloua, Mohamed |
| Geometry of Parametric Binary Choice Models
|
2023 |
Tanaka, Hisatoshi |
| On the f-Divergences Between Hyperboloid and Poincaré Distributions
|
2023 |
Nielsen, Frank |
| Geometric Properties of Beta Distributions
|
2023 |
Assandje, Prosper Rosaire Mama |
| On the Tangent Bundles of Statistical Manifolds
|
2023 |
Opozda, Barbara |
| A Categorical Approach to Statistical Mechanics
|
2023 |
Sergeant-Perthuis, Grégoire |
| Higher Information from Families of Measures
|
2023 |
Mainiero, Tom |
| Geometric Reduction for Identity Testing of Reversible Markov Chains
|
2023 |
Wolfer, Geoffrey |
| Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry
|
2023 |
Han, Andi |
| Projective Wishart Distributions
|
2023 |
Chevallier, Emmanuel |
| Dynamical Geometry and a Persistence K-Theory in Noisy Point Clouds
|
2023 |
Gakkhar, Sita |
| Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods
|
2023 |
Noren, Håkon |
| A Finite Volume Scheme for Fractional Conservation Laws Driven by Lévy Noise
|
2023 |
Bhauryal, Neeraj |
| Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves
|
2023 |
Offen, Christian |
| Group Equivariant Sparse Coding
|
2023 |
Shewmake, Christian |
Tag hinzufügen