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Papers matching “Kullback-Leibler divergence” 44

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Dispersion indices based on Kerridge inaccuracy measure and Kullback-Leibler divergence
2023 Communication in Statistics- Theory and Methods article Mathematics Advanced Statistical Methods and Models Open access

N. Balakrishnan, Francesco Buono, Camilla Calì, Maria Longobardi

12

citations
On Representations of Divergence Measures and Related Quantities in Exponential Families
2021 Entropy article Mathematics Advanced Statistical Methods and Models Open access

Stefan Bedbur, Udo Kamps

2

citations
Taming numerical imprecision by adapting the KL divergence to negative probabilities
2024 Statistics and Computing article Mathematics Tensor decomposition and applications Open access

Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, +1 more

4

citations
Families of Generalized Quasisymmetry Models: A ϕ-Divergence Approach
2021 Symmetry article Computer Science Bayesian Modeling and Causal Inference Open access

Maria Kateri

5

citations
Taming numerical imprecision by adapting the KL divergence to negative probabilities
2024 Research Square preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Simon Pfahler, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, Tilo Wettig

0

citations
A generalized Mallows model based on ϕ-divergence measures
2022 Journal of Multivariate Analysis article Decision Sciences Multi-Criteria Decision Making Open access

Maria Kateri, Nikolay Ivanov Nikolov

1

citations
Limit Distribution Theory for f-Divergences
2023 IEEE Transactions on Information Theory article Economics, Econometrics and Finance Stochastic processes and financial applications

Sreejith Sreekumar, Ziv Goldfeld, Kengo Kato

5

citations
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini

0

citations
Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error
2024 IEEE Information Theory Workshop (ITW) conference-paper Computer Science Machine Learning and Data Classification

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

1

citations
Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error
2024 arXiv (Cornell University) preprint Mathematics Advanced Statistical Methods and Models Open access

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

0

citations
Bayesian data selection to quantify the value of data for landslide runout calibration
2025 preprint Environmental Science Landslides and related hazards Open access

Anil Yıldiz, Julia Kowalski

1

citations
Reply on RC1
2026 peer-review Open access

V Mithlesh Kumar

0

citations
Comment on egusphere-2025-4531
2025 peer-review Open access

V Mithlesh Kumar, Anil Yildiz, Julia Kowalski

0

citations
Reply on RC1
2025 peer-review Open access

0

citations
Comment on egusphere-2025-4531
2026 peer-review Open access

V Mithlesh Kumar, Anil Yildiz, Julia Kowalski

0

citations
Reply on RC2
2026 peer-review Open access

V Mithlesh Kumar

0

citations
Reply on RC1
2025 peer-review Open access

V Mithlesh Kumar

0

citations
Bayesian data selection to quantify the value of data for landslide runout calibration
2026 Nonlinear processes in geophysics article Environmental Science Landslides and related hazards Open access

V Mithlesh Kumar, Anil Yıldiz, Julia Kowalski

0

citations
The exponential family of zero-inflated gamma distributions: statistical properties and inference
2026 Test article Mathematics Statistical Distribution Estimation and Applications Open access

Stefan Bedbur, Zhe Su, Udo Kamps

0

citations
Computing f‐divergences and distances of high‐dimensional probability density functions
2022 Numerical Linear Algebra with Applications article Mathematics Tensor decomposition and applications Open access

Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini

5

citations
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
2022 2022 IEEE International Conference on Image Processing (ICIP) conference-paper Computer Science Face and Expression Recognition

Abin Jose, Dennis Eschweiler, Ina Laube, Johannes Stegmaier

2

citations
Cosmic topology. Part IIIb. Eigenmodes and correlation matrices of spin-2 perturbations in orientable Euclidean manifolds
2025 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Cosmology and Gravitation Theories Open access

Amirhossein Samandar, Javier Carrón Duque, Craig J. Copi, Mikel Martin Barandiaran, Deyan P. Mihaylov, Glenn D. Starkman, +10 more

2

citations
Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions
2021 Physical Review Letters article Neuroscience Neural dynamics and brain function Open access

Alexander van Meegen, Tobias Kühn, Moritz Helias

18

citations
Towards artificial data generation for accelerated PET detector ML-based timing calibration using GANs
2024 conference-paper Medicine Medical Imaging Techniques and Applications

Kostiantyn Lavronenko, L. Lopes de Paiva, Florian Mueller, Volkmar Schulz, Stephan Naunheim

1

citations
Quantitative comparison of three-dimensional bodies using geometrical properties to validate the dissimilarity of a standard collection of 3D geomodels
2025 preprint Engineering Manufacturing Process and Optimization Open access

Friedrich Carl, Peter Achtziger-Zupančič, Jian Can Yang, Marlise Colling Cassel, Florian Wellmann

1

citations