June 12, 2019 conference-paper Open access Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders SERVAL (Université de Lausanne) DOI: 10.48550/arxiv.1906.05423 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 22 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Reply on RC3 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Reply on RC2 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Reply on RC1 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Comment on gmd-2020-427 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Comment on gmd-2020-427 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Comment on gmd-2020-427 2021 peer-review Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 0 citations Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model 2021 preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access cited by 1 patent 12 citations 7 results References 0