Frank Nielsen

Q: What Schools Are Affiliated With Frank Nielsen

Frank Nielsen is affiliated with the following schools: Technical University of Denmark, University of Copenhagen

Frank Nielsen's AcademicInfluence.com Rankings

Frank Nielsen

Computer Science

#7953

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#8369

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Information Theory

#32

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#33

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Algorithms

#313

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#317

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Machine Learning

#3122

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#3161

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computer-science Degrees

Frank Nielsen

Mathematics

#6994

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#9593

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Measure Theory

#1783

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#2185

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mathematics Degrees

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Computer Science
Mathematics

Frank Nielsen's Degrees

PhD Computer Science University of Copenhagen
Masters Mathematics University of Copenhagen
Bachelors Physics University of Copenhagen

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Frank Nielsen's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Statistical region merging (2004) (824)
DeepBach: a Steerable Model for Bach Chorales Generation (2016) (355)
On weighting clustering (2006) (279)
Sided and Symmetrized Bregman Centroids (2009) (186)
Bregman Voronoi Diagrams (2007) (177)
Statistical exponential families: A digest with flash cards (2009) (174)
K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching (2010) (166)
The Burbea-Rao and Bhattacharyya Centroids (2010) (158)
Introduction to HPC with MPI for Data Science (2016) (137)
An Elementary Introduction to Information Geometry (2018) (126)
On the chi square and higher-order chi distances for approximating f-divergences (2013) (118)
Matrix Information Geometry (2012) (102)
A Review of Two Decades of Correlations, Hierarchies, Networks and Clustering in Financial Markets (2017) (98)
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering (2012) (98)
Total Bregman Divergence and Its Applications to DTI Analysis (2011) (97)
Loss factorization, weakly supervised learning and label noise robustness (2016) (95)
A family of statistical symmetric divergences based on Jensen's inequality (2010) (82)
Entropies and cross-entropies of exponential families (2010) (77)
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means (2019) (70)
An Information-Geometric Characterization of Chernoff Information (2013) (69)
Bregman Divergences and Surrogates for Learning (2009) (68)
Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities (2016) (67)
A closed-form expression for the Sharma–Mittal entropy of exponential families (2011) (65)
Fitting the Smallest Enclosing Bregman Ball (2005) (60)
Dynamic data structures for fat objects and their applications (1997) (59)
Visual computing : geometry, graphics, and vision (2005) (58)
GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures (2017) (57)
On Rényi and Tsallis entropies and divergences for exponential families (2011) (56)
Approximating Smallest Enclosing Balls with Applications to Machine Learning (2009) (54)
Chernoff information of exponential families (2011) (54)
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid (2019) (53)
On Conformal Divergences and Their Population Minimizers (2013) (53)
Total Bregman divergence and its applications to shape retrieval (2010) (53)
Sinkhorn AutoEncoders (2018) (53)
On the Smallest Enclosing Information Disk (2008) (52)
Semi-supervised statistical region refinement for color image segmentation (2005) (52)
Guaranteed Bounds on the Kullback–Leibler Divergence of Univariate Mixtures (2016) (52)
A Real generalization of discrete AdaBoost (2006) (51)
On the Efficient Minimization of Classification Calibrated Surrogates (2008) (49)
Local Polynomial Whittle Estimation of Perturbed Fractional Processes (2008) (49)
Combinatorial optimization algorithms for radio network planning (2001) (49)
Hyperbolic Voronoi Diagrams Made Easy (2009) (48)
Simplification and hierarchical representations of mixtures of exponential families (2010) (48)
Fast stabbing of boxes in high dimensions (1996) (47)
Bregman vantage point trees for efficient nearest Neighbor Queries (2009) (46)
Tsallis Regularized Optimal Transport and Ecological Inference (2016) (45)
Closed-form information-theoretic divergences for statistical mixtures (2012) (44)
Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means (2014) (43)
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means (2019) (43)
Bregman Voronoi Diagrams: Properties, Algorithms and Applications (2007) (43)
Total Jensen divergences: Definition, properties and clustering (2013) (42)
K-MLE: A fast algorithm for learning statistical mixture models (2012) (42)
On region merging: the statistical soundness of fast sorting, with applications (2003) (39)
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation (2018) (38)
On approximating the Riemannian 1-center (2011) (35)
Approximating Smallest Enclosing Balls (2004) (34)
G-Protein Coupled Receptor Signaling Architecture of Mammalian Immune Cells (2009) (33)
Emerging Trends in Visual Computing, LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008. Revised Invited Papers (2009) (31)
Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning (2014) (30)
Levels of Details for Gaussian Mixture Models (2009) (29)
Output-Sensitive Convex Hull Algorithms of Planar Convex Objects (1998) (28)
On Clustering Histograms with k-Means by Using Mixed α-Divergences (2014) (28)
Interactive Music Generation with Positional Constraints using Anticipation-RNNs (2017) (27)
Cramer-Rao Lower Bound and Information Geometry (2013) (27)
Leveraging Κ-nn for generic classification boosting (2010) (26)
Output-Sensitive Peeling of Convex and Maximal Layers (1996) (26)
Tailored Bregman Ball Trees for Effective Nearest Neighbors (2009) (26)
Clustering Multivariate Normal Distributions (2009) (26)
Visualizing bregman voronoi diagrams (2007) (26)
Boosting k-NN for Categorization of Natural Scenes (2010) (25)
Jeffreys Centroids: A Closed-Form Expression for Positive Histograms and a Guaranteed Tight Approximation for Frequency Histograms (2013) (24)
Hierarchical Gaussian Mixture Model (2010) (23)
Learning Mixtures by Simplifying Kernel Density Estimators (2013) (23)
Clustering Financial Time Series: How Long Is Enough? (2016) (23)
Relative Fisher Information and Natural Gradient for Learning Large Modular Models (2017) (22)
On the Centroids of Symmetrized Bregman Divergences (2007) (22)
On Hölder Projective Divergences (2017) (21)
Maintenance of a Piercing Set for Intervals with Applications (2000) (21)
On the Geometry of Mixtures of Prescribed Distributions (2018) (21)
K-variates++: More Pluses in the K-means++ (2016) (20)
Simplifying Gaussian mixture models via entropic quantization (2009) (20)
WHAT IS… an Information Projection? (2018) (20)
The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences (2009) (19)
A closed-form formula for the Kullback-Leibler divergence between Cauchy distributions (2019) (18)
Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity (2017) (18)
Geometric Science of Information (2017) (18)
On piercing sets of objects (1996) (17)
Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series (2016) (17)
Tractable structured natural gradient descent using local parameterizations (2021) (17)
Monte Carlo Information Geometry: The dually flat case (2018) (17)
Patch Matching with Polynomial Exponential Families and Projective Divergences (2016) (16)
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius (2021) (16)
Earth Mover Distance on superpixels (2010) (16)
Mining Matrix Data with Bregman Matrix Divergences for Portfolio Selection (2013) (16)
ClickRemoval: interactive pinpoint image object removal (2005) (15)
Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method (2009) (15)
A fast deterministic smallest enclosing disk approximation algorithm (2005) (15)
On approximating the smallest enclosing Bregman Balls (2006) (15)
Local Polynomial Whittle Estimation Covering Non-Stationary Fractional Processes (2007) (15)
Geometric Science of Information (2015) (15)
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means (2010) (15)
Hypothesis Testing, Information Divergence and Computational Geometry (2013) (14)
Clustering in Hilbert’s Projective Geometry: The Case Studies of the Probability Simplex and the Elliptope of Correlation Matrices (2018) (14)
Medians and means in Finsler geometry (2010) (14)
The Science of Computing (2009) (14)
On f-Divergences Between Cauchy Distributions (2021) (14)
Geometric Theory of Information (2014) (13)
Fast Learning of Gamma Mixture Models with k-MLE (2013) (13)
On geodesic triangles with right angles in a dually flat space (2019) (13)
Visualizing hyperbolic Voronoi diagrams (2014) (13)
Total Jensen divergences: Definition, Properties and k-Means++ Clustering (2013) (13)
Model centroids for the simplification of Kernel Density estimators (2012) (12)
Lightlike Neuromanifolds, Occam's Razor and Deep Learning (2019) (12)
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series (2015) (12)
Bregman sided and symmetrized centroids (2008) (12)
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models (2019) (12)
Classification with mixtures of curved mahalanobis metrics (2016) (11)
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree (2007) (11)
The Many Faces of Information Geometry (2022) (11)
Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations (2010) (10)
Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review (2013) (10)
Bhattacharyya Clustering with Applications to Mixture Simplifications (2010) (10)
Grouping with bias revisited (2004) (10)
On w-mixtures: Finite convex combinations of prescribed component distributions (2017) (10)
A New Implementation of k-MLE for Mixture Modeling of Wishart Distributions (2013) (9)
On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds (2020) (9)
Monte Carlo Information-Geometric Structures (2018) (9)
MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions (2017) (9)
On the symmetrical Kullback-Leibler Jeffreys centroids (2013) (9)
Clustering in Hilbert simplex geometry (2017) (9)
K-Medoids Clustering Is Solvable in Polynomial Time for a 2d Pareto Front (2019) (9)
Visual Computing: Geometry, Graphics, and Vision (Graphics Series) (2005) (9)
GUARANTEED DETERMINISTIC BOUNDS ON THE TOTAL VARIATION DISTANCE BETWEEN UNIVARIATE MIXTURES (2018) (8)
On domain-partitioning induction criteria: worst-case bounds for the worst-case based (2004) (8)
Boosting Nearest Neighbors for the Efficient Estimation of Posteriors (2012) (8)
Local Whittle Estimation of Multivariate Fractionally Integrated Processes (2009) (8)
k-MLE for mixtures of generalized Gaussians (2012) (8)
Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states (2008) (8)
On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive (2011) (8)
q-Paths: Generalizing the Geometric Annealing Path using Power Means (2021) (7)
Soft memberships for spectral clustering, with application to permeable language distinction (2009) (7)
Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry (2015) (7)
The hyperbolic Voronoi diagram in arbitrary dimension (2012) (7)
Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time (2020) (7)
Object-Oriented Data-Structures (2009) (7)
An Abstract Weighting Framework for Clustering Algorithms (2004) (7)
Optimal copula transport for clustering multivariate time series (2015) (7)
An Interactive Tour of Voronoi Diagrams on the GPU (2007) (7)
Consensus Region Merging for Image Segmentation (2013) (7)
Non-flat clustering with alpha-divergences (2011) (6)
Annealed Importance Sampling with q-Paths (2020) (6)
Unified Polynomial Dynamic Programming Algorithms for P-Center Variants in a 2D Pareto Front (2021) (6)
Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors † (2018) (6)
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering (2016) (6)
Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences (2022) (6)
Grouping and Querying: A Paradigm to Get Output-Sensitive Algorithms (1998) (6)
The Siegel–Klein Disk: Hilbert Geometry of the Siegel Disk Domain (2020) (6)
Hartigan’s Method for k-MLE: Mixture Modeling with Wishart Distributions and Its Application to Motion Retrieval (2014) (6)
Texture Regimes for Entropy-Based Multiscale Image Analysis (2010) (6)
On Clustering Financial Time Series: A Need for Distances Between Dependent Random Variables (2016) (6)
Revisiting Chernoff Information with Likelihood Ratio Exponential Families (2022) (5)
Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport (2020) (5)
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms (2015) (5)
Computational Information Geometry For Image and Signal Processing (2017) (5)
Information geometry metric for random signal detection in large random sensing systems (2017) (5)
Likelihood Ratio Exponential Families (2020) (5)
On Balls in a Hilbert Polygonal Geometry (Multimedia Contribution) (2017) (5)
PyMEF — A framework for exponential families in Python (2011) (5)
Jensen Divergence-Based Means of SPD Matrices (2013) (5)
Randomized motion estimation (2010) (5)
The Kullback–Leibler Divergence Between Lattice Gaussian Distributions (2021) (5)
On information projections between multivariate elliptical and location-scale families (2021) (5)
k-Means Clustering with Hölder Divergences (2017) (5)
On point covers of c-oriented polygons (2001) (5)
Structured second-order methods via natural gradient descent (2021) (5)
A note on Onicescu's informational energy and correlation coefficient in exponential families (2020) (5)
Fast Graph Segmentation Based on Statistical Aggregation Phenomena (2007) (5)
Comix: Joint estimation and lightspeed comparison of mixture models (2016) (5)
Computational Information Geometry (2017) (5)
Gentle Nearest Neighbors Boosting over Proper Scoring Rules (2015) (5)
Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries (2013) (4)
The Chord Gap Divergence and a Generalization of the Bhattacharyya Distance (2018) (4)
The duo Fenchel-Young divergence (2022) (4)
Parallel Linear Algebra (2016) (4)
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family (2020) (4)
Relative Natural Gradient for Learning Large Complex Models (2016) (4)
Iconic interface for interactive fiction retrieval in libraries based on a cognitive task analysis (1992) (4)
Testing for Long Memory in Potentially Nonstationary Perturbed Fractional Processes (2008) (4)
k-medoids and p-median clustering are solvable in polynomial time for a 2d Pareto front. (2020) (4)
On the Kullback-Leibler divergence between location-scale densities (2019) (4)
Geometric science of information : first International Conference, GSI 2013, Paris, France, August 28-30, 2013, proceedings (2013) (4)
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions (2019) (4)
Geometric Science of Information (2013) (4)
Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means (2014) (4)
Introduction to MPI: The Message Passing Interface (2016) (4)
On power chi expansions of f-divergences (2019) (4)
The entropic centers of multivariate normal distributions (2007) (4)
Interactive Pinpoint Image Object Removal (2005) (3)
Information-geometric lenses for multiple foci+contexts interfaces (2013) (3)
A generalization of the Jensen divergence: The chord gap divergence (2017) (3)
A Concise and Practical Introduction to Programming Algorithms in Java (2009) (3)
K-NN boosting prototype learning for object classification (2010) (3)
Multi-class Leveraged κ-NN for Image Classification (2010) (3)
Harris-Stephens' combined corner/edge detector (2008) (3)
Combinatorial bounds on the α-divergence of univariate mixture models (2017) (3)
A generalization of the α-divergences based on comparable and distinct weighted means (2020) (3)
Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices (2016) (3)
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means (2017) (3)
Fast Approximations of the Jeffreys Divergence between Univariate Gaussian Mixtures via Mixture Conversions to Exponential-Polynomial Distributions (2021) (3)
Accuracy of distance metric learning algorithms (2009) (3)
On The Chain Rule Optimal Transport Distance (2018) (3)
Geometry and Fixed-Rate Quantization in Riemannian Metric Spaces Induced by Separable Bregman Divergences (2019) (3)
Geometry of the probability simplex and its connection to the maximum entropy method (2020) (3)
Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemes (2016) (3)
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances (2016) (3)
A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions (2020) (2)
Clustering in a 2d Pareto Front: p-median and p-center are solvable in polynomial time (2018) (2)
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability (2012) (2)
Fitting the smallest enclosing Bregman balls (2005) (2)
Topology of Interconnection Networks (2016) (2)
Jensen divergence based SPD matrix means and applications (2012) (2)
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds (2021) (2)
A note on the f-divergences between multivariate location-scale families with either prescribed scale matrices or location parameters (2022) (2)
Video Stippling (2010) (2)
A series of maximum entropy upper bounds of the differential entropy (2016) (2)
Interactive Point-and-Click Segmentation for Object Removal in Digital Images (2005) (2)
Online k-MLE for Mixture Modeling with Exponential Families (2015) (2)
Technical opinionSteering self-learning distance algorithms (2009) (2)
The dually flat information geometry of the mixture family of two prescribed Cauchy components (2021) (2)
SSSC-AM: A unified framework for video co-segmentation by structured sparse subspace clustering with appearance and motion features (2016) (2)
Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences (2020) (2)
Improving clustering algorithms through constrained convex optimization (2004) (2)
Approximating smallest enclosing disks (2004) (2)
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope (2021) (1)
Further results on the hyperbolic Voronoi diagrams (2014) (1)
Geometric Science of Information: 4th International Conference, GSI 2019, Toulouse, France, August 27–29, 2019, Proceedings (2019) (1)
Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative (2015) (1)
Bregman Divergences from Comparative Convexity (2017) (1)
Partition-Based Clustering with k-Means (2016) (1)
Erratum to: Computational Information Geometry (2017) (1)
The {\alpha}-divergences associated with a pair of strictly comparable quasi-arithmetic means (2020) (1)
On learning statistical mixtures maximizing the complete likelihood The k-MLE methodology using geometric hard clustering (2015) (1)
The Bregman chord divergence (2018) (1)
On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices (2017) (1)
Supervised Learning: Practice and Theory of Classification with the k -NN Rule (2016) (1)
Predicting and Interpreting Business Failures with Supervised Information Geometric Algorithms (2011) (1)
Tsallis Regularized Optimal Transport and Ecological Inference — Supplementary Material — (2016) (1)
A Simple Approximation Method for the Fisher–Rao Distance between Multivariate Normal Distributions (2023) (1)
Logging safely in public spaces using color PINs (2013) (1)
A Visual Interactive Framework for Formal Derivation (2005) (1)
ACM Content Wants to Be Free (2009) (1)
q-Neurons: Neuron Activations Based on Stochastic Jackson’s Derivative Operators (2018) (1)
Self-improved gaps almost everywhere for the agnostic approximation of monomials (2007) (1)
Hilbert geometry of the Siegel disk: The Siegel-Klein disk model (2020) (1)
The MapReduce Paradigm (2016) (1)
Intrinsic Geometries in Learning (2009) (1)
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing (2009) (1)
Clustering Random Walk Time Series (2015) (1)
The phylogenetic tree of boosting has a bushy carriage but a single trunk (2020) (1)
A note on some information-theoretic divergences between Zeta distributions (2021) (1)
Fast (1+\epsilon )-Approximation of the Löwner Extremal Matrices of High-Dimensional Symmetric Matrices (2017) (1)
Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm (2006) (1)
Shooter Location through Piercing Sets (2000) (1)
Paradigms for Optimization Problems (2009) (0)
A Glance at High Performance Computing (HPC) (2016) (0)
Conditional Structures and Loops (2009) (0)
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof (2019) (0)
Evolving a Vector Space with any Generating Set (2017) (0)
Elmodel-service. Slutrapport (1997) (0)
Staring at Economic Aggregators through Information Lenses (2008) (0)
Computational Geometry for Statistics (2012) (0)
Tutorial session 2 (Frank Nielsen, Ariel Caticha, Ken H. Knuth) (2014) (0)
Geometry and clustering with metrics derived from separable Bregman divergences (2018) (0)
Some results on a χ-divergence, an extended Fisher information and generalized Cramér-Rao inequalities (2020) (0)
Oral session 3 Information geometry (Ariel Caticha, Steeve Zozor, Frank Nielsen) (2014) (0)
A Geometric Modeling of Occam's Razor in Deep Learning (2019) (0)
Opening and closing sessions (chaired by Frédéric Barbaresco, Frank Nielsen, Silvère Bonnabel) (2017) (0)
On Balls in a Hilbert Polygonal Geometry (2017) (0)
Batch and Online Mixture Learning: A Review with Extensions (2017) (0)
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning (2023) (0)
Simplifying Momentum-based Riemannian Submanifold Optimization (2023) (0)
Oral session 6 Foundations and Geometry (John Skilling, Frank Nielsen, Ariel Caticha) (2014) (0)
Non-linear Embeddings in Hilbert Simplex Geometry (2022) (0)
Objects and Strings (2009) (0)
Computing Statistical Divergences with Sigma Points (2021) (0)
Information geometry of the Tojo-Yoshino's exponential family on the Poincaré upper plane (2022) (0)
Jensen-Shannon divergence and diversity index: Origins and some extensions (0)
Beyond scalar quasi-arithmetic means: Quasi-arithmetic averages and quasi-arithmetic mixtures in information geometry (2023) (0)
Functions and Recursive Functions (2009) (0)
Computing Minimum Cut Sets for Circular-Arc Graphs | a New Approach (1999) (0)
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities (2021) (0)
D ec 2 01 8 Clustering in a 2 d Pareto Front : p-median and p-center are solvable in polynomial time (0)
The analytic dually flat space of the mixture family of two prescribed distinct Cauchy distributions (2021) (0)
Generalizing the Alpha-Divergences and the Oriented Kullback-Leibler Divergences with Quasi-Arithmetic Means (2022) (0)
Boosting k-NN for Categorization of Natural Scenes (2012) (0)
Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set (2017) (0)
On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models (2022) (0)
On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds (2020) (0)
Expressions, Variables and Assignments (2009) (0)
Keynote speach Marc Arnaudon (chaired by Frank Nielsen) (2015) (0)
Chain Rule Optimal Transport (2021) (0)
On the efficient minimization of convex surrogates in supervised learning (2008) (0)
Rho-Tau Bregman Information and the Geometry of Annealing Paths (2022) (0)
The analytic dually flat space of the statistical mixture family of two prescribed distinct Cauchy components (2021) (0)
Image and Information (2016) (0)
Deep rank-based transposition-invariant distances on musical sequences (2017) (0)
Information measures and geometry of the hyperbolic exponential families of Poincar\'e and hyperboloid distributions (2022) (0)
Clustering Random Walk Time Series GSI 2015 - Geometric Science of Information (2015) (0)
Information geometry: Dualistic manifold structures and their uses (2018) (0)
Computational Information Geometry (chaired by Frank Nielsen, Paul Marriott) (2015) (0)
Boosting Bayesian MAP Classification (2010) (0)
session Computational Information Geometry (chaired by Frank Nielsen, Olivier Schwander) (2017) (0)
A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures (2014) (0)
An elementary introduction to information geometry 28 / 08 / 2018 Auteurs : (2019) (0)
Planar p-center problems are solvable in polynomial time when clustering a Pareto Front (2019) (0)
On the f -divergences between densities of a multivariate location or scale family (2022) (0)
GSI'17 Opening session (2017) (0)
Partial k-means to avoid outliers, mathematical programming formulations, complexity results (2023) (0)
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models (2015) (0)
Algorithmes géométriques adaptatifs. (Output-sensitive Computational Geometry) (1996) (0)
GSI'17-Closing session (2017) (0)
A generalization of the $\alpha$-divergences based on comparable and distinct weighted means (2020) (0)
Oral session 5 Bayesian inference (Frank Nielsen, John Skilling, Romke Brontekoe) (2014) (0)
Fast Approximate Optimization in High Dimensions with Core-Sets and Fast Dimension Reduction (2016) (0)
Information geometries and Microeconomic Theories (2009) (0)
Preface of the 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (2023) (0)
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances (2020) (0)
On the Centroids of Symmetrized Bregman Divergences |Extended Abstract| (2007) (0)
Parallel Algorithms for Graphs (2016) (0)
Searching and Sorting (2009) (0)
Product Jacobi-Theta Boltzmann machines with score matching (2023) (0)

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