Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning
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(FIVE YEARS 21)

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9783030779566, 9783030779573

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An Exponential Family on the Upper Half Plane and Its Conjugate Prior

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_4 ◽

2021 ◽

pp. 84-95

Author(s):

Koichi Tojo ◽

Taro Yoshino

Keyword(s):

Half Plane ◽

Exponential Family ◽

Conjugate Prior ◽

Upper Half Plane

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Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_19 ◽

2021 ◽

pp. 356-373

Author(s):

Anis Fradi ◽

Ines Adouani ◽

Chafik Samir

Keyword(s):

Bayesian Inference

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A Practical Hands-on for Learning Graph Data Communities on Manifolds

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_21 ◽

2021 ◽

pp. 428-459

Author(s):

Thomas Gerald ◽

Hadi Zaatiti ◽

Hatem Hajri

Keyword(s):

Graph Data ◽

Hands On

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A Lecture About the Use of Orlicz Spaces in Information Geometry

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_10 ◽

2021 ◽

pp. 179-195

Author(s):

Giovanni Pistone

Keyword(s):

Orlicz Spaces ◽

Information Geometry

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Relevant Differential Topology in Statistical Manifolds

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_9 ◽

2021 ◽

pp. 154-178

Author(s):

Michel Nguiffo-Boyom

Keyword(s):

Differential Topology ◽

Statistical Manifolds

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Geometric Integration of Measure-Preserving Flows for Sampling

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_18 ◽

2021 ◽

pp. 345-355

Author(s):

Alessandro Barp

Keyword(s):

Geometric Integration

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Galilean Thermodynamics of Continua

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_6 ◽

2021 ◽

pp. 107-119

Author(s):

Géry de Saxcé

Keyword(s):

Thermodynamics Of Continua

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Souriau-Casimir Lie Groups Thermodynamics and Machine Learning

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_3 ◽

2021 ◽

pp. 53-83

Author(s):

Frédéric Barbaresco

Keyword(s):

Machine Learning ◽

Lie Groups

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Learning Physics from Data: A Thermodynamic Interpretation

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_14 ◽

2021 ◽

pp. 276-297

Author(s):

Francisco Chinesta ◽

Elías Cueto ◽

Miroslav Grmela ◽

Beatriz Moya ◽

Michal Pavelka ◽

...

Keyword(s):

Thermodynamic Interpretation

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Information Geometry and Integrable Hamiltonian Systems

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning ◽

10.1007/978-3-030-77957-3_8 ◽

2021 ◽

pp. 141-153

Author(s):

J.-P. Françoise

Keyword(s):

Hamiltonian Systems ◽

Information Geometry ◽

Integrable Hamiltonian Systems

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Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

An Exponential Family on the Upper Half Plane and Its Conjugate Prior

Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling

A Practical Hands-on for Learning Graph Data Communities on Manifolds

A Lecture About the Use of Orlicz Spaces in Information Geometry

Relevant Differential Topology in Statistical Manifolds

Geometric Integration of Measure-Preserving Flows for Sampling

Galilean Thermodynamics of Continua

Souriau-Casimir Lie Groups Thermodynamics and Machine Learning

Learning Physics from Data: A Thermodynamic Interpretation

Information Geometry and Integrable Hamiltonian Systems

Springer Proceedings in Mathematics & Statistics - Geometric Structures of Statistical Physics, Information Geometry, and Learning
Latest Publications