yusuke1997/dblp-id-title huggingface dataset:
WAN2DNS-PM: Weak Adversarial Networks for Solving 2D Incompressible Navier-Stokes Equations in Porous Media
Geometric Stabilization of Virtual Nonlinear Nonholonomic Constraints
Betti Curves of Rank One Symmetric Matrices
A Particle-Evolving Method for Approximating the Optimal Transport Plan
Schrödinger Encounters Fisher and Rao: A Survey
Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization
Group Morphology Fixed Points on Homogenous Spaces for Deep Learning Equivariant Networks
Diffeomorphic Random Sampling Using Optimal Information Transport
Empirical Likelihood with Censored Data
Universal Kernels via Harmonic Analysis on Riemannian Symmetric Spaces
Recent Developments on the MTW Tensor
Maximum Likelihood Estimators on Manifolds
Geodesic Flows of α-connections for Statistical Transformation Models on a Compact Lie Group
Sasakian Statistical Manifolds II
Q-Information Geometry of Systems
Wasserstein Statistics in One-Dimensional Location-Scale Models
Archetypal Model of Entropy by Poisson Cohomology as Invariant Casimir Function in Coadjoint Representation and Geometric Fourier Heat Equation
Symplectic Foliation Transverse Structure and Libermann Foliation of Heat Theory and Information Geometry
Surface Matching Using Normal Cycles
Towards Quotient Barycentric Subspaces
Fast Equivariant K-Means on SPD Matrices Using Log-Extrinsic Means
Hunt's Colorimetric Effect from a Quantum Measurement Viewpoint
K-P Quantum Neural Networks
Generalized Minimizers of Convex Integral Functionals and Pythagorean Identities
Differential Operators Heterogenous in Orientation and Scale in the V 1 Cortex
Geometric Reduction for Identity Testing of Reversible Markov Chains
Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part III
Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data
Classification in the Siegel Space for Vectorial Autoregressive Data
Positive Signal Spaces and the Mehler-Fock Transform
Robust Estimation by Means of Scaled Bregman Power Distances. Part II. Extreme Values
New Model Search for Nonlinear Recursive Models, Regressions and Autoregressions
Information Geometry and Interior-Point Algorithms
A Connection Between Learning to Reject and Bhattacharyya Divergences
Color Texture Discrimination Using the Principal Geodesic Distance on a Multivariate Generalized Gaussian Manifold
A New Symmetry Group for Physics to Revisit the Kaluza-Klein Theory
Barycentric Subspaces and Affine Spans in Manifolds
On Invariant Conjugate Symmetric Statistical Structures on the Space of Zero-Mean Multivariate Normal Distributions
A Family of Anisotropic Distributions on the Hyperbolic Plane
On Affine Immersions of the Probability Simplex and Their Conformal Flattening
Dirac Structures in Thermodynamics of Non-simple Systems
Irreversible Langevin MCMC on Lie Groups
Symplectic Structure of Information Geometry: Fisher Metric and Euler-Poincaré Equation of Souriau Lie Group Thermodynamics
On the Entropy of Rectifiable and Stratified Measures
Tangent Groupoid and Information Geometry
Geometric Numerical Methods with Lie Groups
Computational Investigations of an Obstacle-Type Shape Optimization Problem in the Space of Smooth Shapes
A Sub-Riemannian Modular Approach for Diffeomorphic Deformations
Multivariate Texture Discrimination Based on Geodesics to Class Centroids on a Generalized Gaussian Manifold
Information-Geometric Optimization: The Interest of Information Theory for Discrete and Continuous Optimization
Avoiding the General Position Condition When Computing the Topology of a Real Algebraic Plane Curve Defined Implicitly
Geometric Science of Information - 5th International Conference, GSI 2021, Paris, France, July 21-23, 2021, Proceedings
Curvature Inequalities and Simons' Type Formulas in Statistical Geometry
Deconvolution for the Wasserstein Metric and Geometric Inference
Itô Stochastic Differential Equations as 2-Jets
Geodesic Least Squares Regression on the Gaussian Manifold with an Application in Astrophysics
A Geometric Study of Wasserstein Spaces: An Addendum on the Boundary
Global Positioning on Earth
Variational Discretization Framework for Geophysical Flow Models
Laplace's Rule of Succession in Information Geometry
Continuum Mechanics of Defective Media: An Approach Using Fiber Bundles
Rolling Symmetric Spaces
Riemannian Online Algorithms for Estimating Mixture Model Parameters
Classification of Totally Umbilical CR-Statistical Submanifolds in Holomorphic Statistical Manifolds with Constant Holomorphic Curvature
Bi-forms Approach to Potential Functions in Information Geometry
Independent States are Orthogonal: A Categorical Framework to Treat Probability Geometrically
On the Existence of Paths Connecting Probability Distributions
Continuous Kendall Shape Variational Autoencoders
Quantum Harmonic Analysis and the Positivity of Trace Class Operators; Applications to Quantum Mechanics
Testing the Number and the Nature of the Components in a Mixture Distribution
Metriplectic Integrators for Dissipative Fluids
A Stochastic Look at Geodesics on the Sphere
Aggregated Tests Based on Supremal Divergence Estimators for Non-regular Statistical Models
On Geometric Properties of the Textile Set and Strict Textile Set
Supervised Morphology for Structure Tensor-Valued Images Based on Symmetric Divergence Kernels
Entropy Minimizing Curves with Application to Automated Flight Path Design
Asymptotics of Superposition of Point Processes
Lie-Adaptive Inversion of Signature via Pfeffer-Seigal-Sturmfels Algorithm
Matrix Realization of a Homogeneous Cone
Hessian Structures and Non-invariant (F, G)-Geometry on a Deformed Exponential Family
Computing Boundaries in Local Mixture Models
Estimation and Tests Under L-Moment Condition Models
Law of Cosines and Shannon-Pythagorean Theorem for Quantum Information
Canonical Moments for Optimal Uncertainty Quantification on a Variety
A Neurogeometric Stereo Model for Individuation of 3D Perceptual Units
Flow Matching on Lie Groups
Global Exponential Attitude and Gyro Bias Estimation from Vector Measurements
Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric
Debreu's 3-Webs and Affinely Flat Bi-Lagrangian Manifolds Links with Transverse Symplectic Foliation of Souriau's Dissipative Lie Groups Thermodynamics
Geometric Degree of Non Conservativeness
Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part II
Trajectory Generation for Nonholonomic Control Systems Using Reconstruction Techniques on SE(2)
Hyperbolic Decomposition of Dirichlet Distance for ARMA Models
Gauge Transformations in Stochastic Geometric Mechanics
A Partitioned Finite Element Method for the Structure-Preserving Discretization of Damped Infinite-Dimensional Port-Hamiltonian Systems with Boundary Control
Some Decision Procedures Based on Scaled Bregman Distance Surfaces
Properties of Nonlinear Diffusion Equations on Networks and Their Geometric Aspects
On Directional-Search Procedures for Orbifolds: Connections with the Manifold Framework
Efficiency of the Generalized Method of Moments from the Viewpoint of Differential Geometry
The Extremal Index for a Random Tessellation
Information Geometry on the ℓ 2 -Simplex via the q-Root Transform
Characterizing Time Series Variability and Predictability from Information Geometry Dynamics
Towards Full 'Galilei General Relativity': Gravitational Kinematics in Bargmann Spacetimes
Predictive Information in Gaussian Processes with Application to Music Analysis
Gaussian Distributions on the Space of Symmetric Positive Definite Matrices from Souriau's Gibbs State for Siegel Domains by Coadjoint Orbit and Moment Map
The Exponential Family in Abstract Information Theory
Variational Geometric Description for Fluids with Permeable Boundaries
KV Cohomology Group of Some KV Structures on $\mathbb {R}^2$
Learning Riemannian Metrics for Interpolating Animations
Distance Geometry in Linearizable Norms
Geometry of Policy Improvement
Modelling and Structure-Preserving Discretization of the Schrödinger as a Port-Hamiltonian System, and Simulation of a Controlled Quantum Box
Image Processing in the Semidiscrete Group of Rototranslations
Geometry of the Symplectic Stiefel Manifold Endowed with the Euclidean Metric
Singular Cotangent Models in Fluids with Dissipation
New Geometry of Parametric Statistical Models
Continuity of f-projections on Discrete Spaces
Iterative SE(3)-Transformers
Geometry of Parametric Binary Choice Models
Information Algebras and Their Applications
Shape Analysis on Lie Groups and Homogeneous Spaces
Adaptation of Multiscale Function Extension to Inexact Matching: Application to the Mapping of Individuals to a Learnt Manifold
Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit
Poly-symplectic Model of Higher Order Souriau Lie Groups Thermodynamics for Small Data Analytics
Semi-discrete Optimal Transport in Patch Space for Enriching Gaussian Textures
Visualizing Projective Shape Space
Can Generalised Divergences Help for Invariant Neural Networks?
\alpha α -power Sums on Symmetric Cones
Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks
Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and the Jensen-Shannon $\nabla $-Divergences
Random Pairwise Gossip on CAT(k) Metric Spaces
B. Y. Chen Inequalities for Statistical Submanifolds in Sasakian Statistical Manifolds
Towards a Category-Theoretic Foundation of Classical and Quantum Information Geometry
Enlargement, Geodesics, and Collectives
A Common Symmetrization Framework for Iterative (Linear) Maps
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part II
Parameter Estimation with Generalized Empirical Localization
A Dually Flat Geometry for Spacetime in 5d
Joint Geometric and Photometric Visual Tracking Based on Lie Group
On a Cornerstone of Bare-Simulation Distance/Divergence Optimization
Coordinate-Wise Transformation and Stein-Type Densities
Self-oscillations of a Vocal Apparatus: A Port-Hamiltonian Formulation
Towards a Geometrization of Quantum Complexity and Chaos
Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model
Deterministic Walks and Quasi-Subgradient Methods for the Karcher Mean on NPC Spaces
Entropy Functionals and Equilibrium States in Mixed Quantum-Classical Dynamics
Affine Natural Proximal Learning
Group Equivariant Sparse Coding
Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression
Computing Statistical Divergences with Sigma Points
Particle Observers for Contracting Dynamical Systems
Bi-invariant Means on Lie Groups with Cartan-Schouten Connections
Defects in Unidimensional Structures
Infinite-Dimensional Manifolds of Finite-Entropy Probability Measures
Is Affine-Invariance Well Defined on SPD Matrices? A Principled Continuum of Metrics
Biased Estimators on Quotient Spaces
Bayesian-Like Estimation with Unnormalized Model
Parallel Transport in Shape Analysis: A Scalable Numerical Scheme
A New Model for Natural Groupings in High-Dimensional Data
Adler-Kostant-Symes Theorem and Algebraic Complete Integrability of Information Geometry and Souriau Lie Groups Thermodynamics $\left\langle {Q,\left[ {\beta ,Z} \right]} \right\rangle + \tilde{\Theta }\left( {\beta ,Z} \right) = 0$
Types of Stickiness in BHV Phylogenetic Tree Spaces and Their Degree
A New Geometric Regression with Inputs-Outputs on Matrix Lie Groups
Sobolev Statistical Manifolds and Exponential Models
Convex Hulls of Curves: Volumes and Signatures
Accelerated Stein Variational Gradient Flow
Note on Harmonic Exponential Families on Homogeneous Spaces
Texture Classification Using Rao's Distance on the Space of Covariance Matrices
Asymmetric Topologies on Statistical Manifolds
Geometric Science of Information - First International Conference, GSI 2013, Paris, France, August 28-30, 2013. Proceedings
A Formalization of the Natural Gradient Method for General Similarity Measures
Robust Estimation by Means of Scaled Bregman Power Distances. Part I. Non-homogeneous Data
Characterization of Invariant Inner Products
Von Mises-Like Probability Density Functions on Surfaces
Curved Representational Bregman Divergences and Their Applications
An Extrinsic Look at the Riemannian Hessian
Mind2Mind: Transfer Learning for GANs
Geometry of Goodness-of-Fit Testing in High Dimensional Low Sample Size Modelling
Higher Information from Families of Measures
Geometric Design of the Tangent Term in Landing Algorithms for Orthogonality Constraints
A Kernel-Based Global Method for the Learning of Elastic Potentials on Lie Groups
Integral Geometry of Linearly Combined Gaussian and Student-t, and Skew Student's t Random Fields
A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
Traditional and Accelerated Gradient Descent for Neural Architecture Search
Clustering Random Walk Time Series
A Primal-Dual Approach for a Total Variation Wasserstein Flow
Anomaly Detection in Network Traffic with a Relationnal Clustering Criterion
Selective Metamorphosis for Growth Modelling with Applications to Landmarks
Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem
An Auditory Cortex Model for Sound Processing
A Riemanian Approach to Blob Detection in Manifold-Valued Images
Rényi Relative Entropy from Homogeneous Kullback-Leibler Divergence Lagrangian
Entropy and Structure of the Thermodynamical Systems
Sigma Point Kalman Filtering on Matrix Lie Groups Applied to the SLAM Problem
Dirac Structures in Nonequilbrium Thermodynamics
Generalized Gibbs Ensembles in Discrete Quantum Gravity
Stochastic Perturbation of Geodesics on the Manifold of Riemannian Metrics
Activity Video Analysis via Operator-Based Local Embedding
Towards Full 'Galilei General Relativity': Bargmann-Minkowski and Bargmann-Galilei Spacetimes
Differential Geometry Applied to Acoustics: Non Linear Propagation in Reissner Beams
The Pontryagin Forms of Hessian Manifolds
Dynamical Geometry and a Persistence K-Theory in Noisy Point Clouds
Souriau Exponential Map Algorithm for Machine Learning on Matrix Lie Groups
Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using Currents
A Product Shape Manifold Approach for Optimizing Piecewise-Smooth Shapes
Analysis of Optimal Transport Related Misfit Functions in Seismic Imaging
On a Method to Construct Exponential Families by Representation Theory
\mathbb R R -Complex Finsler Information Geometry Applied to Manifolds of Systems
Quantum Jensen-Shannon Divergences Between Infinite-Dimensional Positive Definite Operators
Real Hypersurfaces in the Complex Quadric with Certain Condition of Normal Jacobi Operator
From Quantum Hydrodynamics to Koopman Wavefunctions II
Generalized Pareto Distributions, Image Statistics and Autofocusing in Automated Microscopy
Optimal Transport to Rényi Entropies
Group Theoretical Study on Geodesics for the Elliptical Models
Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part I
Coherent States and Entropy
Rényi Partial Orders for BISO Channels
Some Results on a χ-divergence, an Extended Fisher Information and Generalized Cramér-Rao Inequalities
A Variational Principle of Minimum for Navier-Stokes Equation Based on the Symplectic Formalism
Quantification of Model Risk: Data Uncertainty
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry
A Variational Symplectic Scheme Based on Lobatto's Quadrature
On Fisher Information Matrix, Array Manifold Geometry and Time Delay Estimation
Hessian Structures on Deformed Exponential Families
On Gaussian Group Convex Models
Geometric Jensen-Shannon Divergence Between Gaussian Measures on Hilbert Space
The Fisher-Rao Distance Between Finite Energy Signals
Intrinsic LDA for 3D Shape Classification via Parallel Transport
Optimization in the Space of Smooth Shapes
Generalized Wintegen Type Inequality for Lagrangian Submanifolds in Holomorphic Statistical Space Forms
Geometric Neural Fields for Cortical Activity
Computational Information Geometry in Statistics: Mixture Modelling
Diffusion Means and Heat Kernel on Manifolds
Pseudo-dihedral Angles in Proteins Providing a New Description of the Ramachandran Map
From Variational to Bracket Formulations in Nonequilibrium Thermodynamics of Simple Systems
On Mixture and Exponential Connection by Open Arcs
New Directions for Contact Integrators
p-Laplacians for Manifold-Valued Hypergraphs
Frobenius Statistical Manifolds and Geometric Invariants
Two-Typed Tangent Vectors in Quantum Statistical Mechanics
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning
Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models
The Riemannian Barycentre as a Proxy for Global Optimisation
DL4TO : A Deep Learning Library for Sample-Efficient Topology Optimization
The Fisher Metric and the Amari-Chentsov Tensor of the Family of Poincaré Distributions
Projective Wishart Distributions
Generalized Mutual-Information Based Independence Tests
Enhancing CNNs Robustness to Occlusions with Bioinspired Filters for Border Completion
Bézier Curves and C^2 C 2 Interpolation in Riemannian Symmetric Spaces
An Intrinsic Cramér-Rao Bound on Lie Groups
A Generalization of Independence and Multivariate Student's t-distributions
Non-convex Relaxation of Optimal Transport for Color Transfer Between Images
Translations in the Exponential Orlicz Space with Gaussian Weight
Equivalence of Invariant Star-Products: The "Retract" Method
Inductive Means and Sequences Applied to Online Classification of EEG
Virtual Affine Nonholonomic Constraints
Tessellabilities, Reversibilities, and Decomposabilities of Polytopes - (A Survey)
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
Extension of Information Geometry to Non-statistical Systems: Some Examples
Deep Dirac Neural Networks for Holonomic Mechanical Systems
Optimal Transport and Minimal Trade Problem, Impacts on Relational Metrics and Applications to Large Graphs and Networks Modularity
Conditioning Surface Shape Processes with Neural Operators
New Lie Systems from Goursat Distributions: Reductions and Reconstructions
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices
Multi-symplectic Lie Group Thermodynamics for Covariant Field Theories
Expressiveness and Structure Preservation in Learning Port-Hamiltonian Systems
Packing Bounds for Outer Products with Applications to Compressive Sensing
Space Filling Positionality and the Spiroformer
Quantization of Hyperspectral Image Manifold Using Probabilistic Distances
Exploration of Balanced Metrics on Symmetric Positive Definite Matrices
On the Identification of Discretization Orders for Distance Geometry with Intervals
Pairwise Ising Model Analysis of Human Cortical Neuron Recordings
Tree Inference with Varifold Distances
Statistical Transformation Models of Multivariate Normal Distributions and Their α-Geodesic Flows
High-Order Structure-Preserving Algorithms for Plasma Hybrid Models
Uniform Observability of Linear Time-Varying Systems and Application to Robotics Problems
Information Cohomology of Classical Vector-Valued Observables
On the Notion of Composite System
Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images
Algebraic Homotopy Interleaving Distance
Extremal Curves in Wasserstein Space
Dimension Reduction on Polyspheres with Application to Skeletal Representations
Stochastic PDE Projection on Manifolds: Assumed-Density and Galerkin Filters
Maximal Information Divergence from Statistical Models Defined by Neural Networks
Group Actions and Monotone Metric Tensors: The Qubit Case
Shape Theory and TDA via the Atiyah-Molino Reconstruction
On Canonical Parameterizations of 2D-Shapes
Information/Contact Geometries and Koszul Entropy
Examples of Symbolic and Numerical Computation in Poisson Geometry
Dimensionality Reduction for Classification of Stochastic Fibre Radiographs
Normalization Problems for Deformed Exponential Families
Using Signatures and Koopman Operator to Learn Non-linear Dynamics
Lie Group Quaternion Attitude-Reconstruction of Quadrotor UAV
Frames for Tensor Field Morphology
A Variational Symplectic Scheme Based on Simpson's Quadrature
Multivariate L-Moments Based on Transports
k-Means Clustering with Hölder Divergences
A Finite Volume Scheme for Fractional Conservation Laws Driven by Lévy Noise
Fitting Smooth Paths on Riemannian Manifolds: Endometrial Surface Reconstruction and Preoperative MRI-Based Navigation
Statistical Bundle of the Transport Model
Continuous-Time Filtering in Lie Groups: Estimation via the Fréchet mean of solutions to stochastic differential equations
Applied Conformal Carroll Geometry
Multiscale Covariance Fields, Local Scales, and Shape Transforms
Canonical Foliations of Statistical Manifolds with Hyperbolic Compact Leaves
Comparing Different Modularization Criteria Using Relational Metric
Reduction of Hybrid Hamiltonian Systems with Non-equivariant Momentum Maps
Fast Polynomial Spline Approximation for Large Scattered Data Sets via L 1 Minimization
Wasserstein KL-Divergence for Gaussian Distributions
When Geometry Meets Psycho-Physics and Quantum Mechanics: Modern Perspectives on the Space of Perceived Colors
Temporal Alignment of Human Motion Data: A Geometric Point of View
Asymptotic Properties of Random Polytopes
Numerical Techniques for Geodesic Approximation in Riemannian Shape Optimization
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds
Three Methods to Put a Riemannian Metric on Shape Space
Euler-Poincaré Equation for Lie Groups with Non Null Symplectic Cohomology. Application to the Mechanics
Hypersurfaces with Isometric Reeb Flow in Hermitian Symmetric Spaces of Rank 2
Warped Metrics for Location-Scale Models
Drone Tracking Using an Innovative UKF
Sequential Parallel Metropolis-Adjusted Langevin Algorithm on Matrix Lie Groups
Transformations and Coupling Relations for Affine Connections
Geometry, Energy, and Entropy Compatible (GEEC) Variational Approaches to Various Numerical Schemes for Fluid Dynamics
A Sequential Structure of Statistical Manifolds on Deformed Exponential Family
Hyperkähler Marriage of the Two Sphere with the Hyperbolic Space
Regularized Barycenters in the Wasserstein Space
Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images
Information Metrics for Phylogenetic Trees via Distributions of Discrete and Continuous Characters
Geometry of Cells Sensible to Curvature and Their Receptive Profiles
Logarithmic Divergences: Geometry and Interpretation of Curvature
From Quantum Hydrodynamics to Koopman Wavefunctions I
Noncommutative Geometry and Stochastic Processes
Diffeomorphic ICP Registration for Single and Multiple Point Sets
Predicting Bending Moments with Machine Learning
Generalized EM Algorithms for Minimum Divergence Estimation
A Homological Approach to Belief Propagation and Bethe Approximations
A Riemannian Fourier Transform via Spin Representations
Conservation Laws as Part of Lagrangian Reduction. Application to Image Evolution
A Python Hands-on Tutorial on Network and Topological Neuroscience
An Approximate Projection onto the Tangent Cone to the Variety of Third-Order Tensors of Bounded Tensor-Train Rank
Unitarity Excess in Schwartzschild Metric
Simulation of Conditioned Diffusions on the Flat Torus
RNA Structure Correction - The Importance of Small Clusters
A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric
Information Distances in Stochastic Resolution Analysis
Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry
Optimal Mass Transport over Bridges
Divergence Functions in Information Geometry
About Some System-Theoretic Properties of Port-Thermodynamic Systems
The Gaussian Kernel on the Circle and Spaces that Admit Isometric Embeddings of the Circle
Local Truncation Error of Low-Order Fractional Variational Integrators