January 05, 2020 preprint Open access The troublesome kernel: why deep learning for inverse problems is typically unstable. arXiv (Cornell University) Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 63 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 Compressive Sensing and Neural Networks from a Statistical Learning Perspective 2022 Applied and numerical harmonic analysis book-chapter Engineering Sparse and Compressive Sensing Techniques Open access 12 citations Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications 2021 Journal of Imaging article Medicine Medical Imaging Techniques and Applications Open access 53 citations 2 results References 0