January 01, 2019 conference-paper Open access Reconstruction Techniques in IceCube using Convolutional and Generative Neural Networks EPJ Web of Conferences DOI: 10.1051/epjconf/201920705005 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 11 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 Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube 2022 Repository KITopen (Karlsruhe Institute of Technology) conference-paper Physics and Astronomy Neutrino Physics Research Open access 4 citations Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube 2021 Journal of Instrumentation article Physics and Astronomy Neutrino Physics Research Open access 3 citations Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube 2021 International Cosmic Ray Conference conference-paper Physics and Astronomy Neutrino Physics Research Open access 18 citations 3 results References 0