December 18, 2020 article BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks IEEE Transactions on Neural Networks and Learning Systems DOI: 10.1109/tnnls.2020.3042395 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 234 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 Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony 2025 Proceedings of the National Academy of Sciences article Arts and Humanities Philosophy and History of Science Open access 27 citations A method for inferring signal strength modifiers by conditional invertible neural networks 2024 EPJ Web of Conferences conference-paper Physics and Astronomy Particle physics theoretical and experimental studies Open access 0 citations Inference of cosmic-ray source properties by conditional invertible neural networks 2022 The European Physical Journal C article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access 34 citations 3 results References 0