| Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks
|
2023 |
Pai, Gautam |
| Can Generalised Divergences Help for Invariant Neural Networks?
|
2023 |
Velasco-Forero, Santiago |
| Extensive Entropy Functionals and Non-ergodic Random Walks
|
2023 |
Girardin, Valérie |
| Aggregated Tests Based on Supremal Divergence Estimators for Non-regular Statistical Models
|
2023 |
Baudry, Jean-Patrick |
| KV Cohomology Group of Some KV Structures on R2
|
2023 |
Herguey, Mopeng |
| Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem
|
2023 |
Szwagier, Tom |
| Characterization of Invariant Inner Products
|
2023 |
Thanwerdas, Yann |
| The Gaussian Kernel on the Circle and Spaces that Admit Isometric Embeddings of the Circle
|
2023 |
Costa, Nathaël Da |
| Convex Hulls of Curves: Volumes and Signatures
|
2023 |
Améndola, Carlos |
| Toric Fiber Products in Geometric Modeling
|
2023 |
Duarte, Eliana |
| Equivalence of Invariant Star-Products: The “Retract” Method
|
2023 |
Bieliavsky, Pierre |
| DLATO : A Deep Learning Library for Sample-Efficient Topology Optimization
|
2023 |
Erzmann, David |
| 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 |
Tag hinzufügen