January 17, 2017 preprint Open access Towards Principled Methods for Training Generative Adversarial Networks arXiv (Cornell University) DOI: 10.48550/arxiv.1701.04862 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 349 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 Using learned priors to regularize the Helmholtz equation least-squares method 2024 The Journal of the Acoustical Society of America article Mathematics Numerical methods in inverse problems 5 citations Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset 2023 Sensors article Computer Science Generative Adversarial Networks and Image Synthesis Open access 8 citations 2 results References 0