| Variational federated multi-task learning L Corinzia, A Beuret, JM Buhmann arXiv preprint arXiv:1906.06268, 2019 | 179 | 2019 |
| Assessment of artificial intelligence in echocardiography diagnostics in differentiating takotsubo syndrome from myocardial infarction F Laumer, D Di Vece, VL Cammann, M Würdinger, V Petkova, ... JAMA cardiology 7 (5), 494-503, 2022 | 29 | 2022 |
| The Next 700 Policy Miners: A Universal Method for Building Policy Miners C Cotrini, L Corinzia, T Weghorn, D Basin Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 15 | 2019 |
| Transfer Learning by Adaptive Merging of Multiple Models RC Geyer, V Wegmayr, L Corinzia International Conference on Medical Imaging with Deep Learning MIDL, 2019 | 13 | 2019 |
| Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography L Corinzia, F Laumer, A Candreva, M Taramasso, F Maisano, ... Artificial Intelligence in Medicine 110, 101975, 2020 | 12 | 2020 |
| IFedAvg: Interpretable Data-Interoperability for Federated Learning D Roschewitz, MA Hartley, L Corinzia, M Jaggi Interpretable Machine Learning in Healthcare Workshop ICML 2021, 2021 | 10 | 2021 |
| Learning Long-Term Crop Management Strategies with CyclesGym M Turchetta, L Corinzia, S Sussex, A Burton, J Herrera, I Athanasiadis, ... Advances in Neural Information Processing Systems 35, 11396-11409, 2022 | 8 | 2022 |
| Exact Recovery for a Family of Community-Detection Generative Models L Corinzia, P Penna, L Mondada, JM Buhmann IEEE International Symposium on Information Theory, 2019 | 7 | 2019 |
| Statistical and computational thresholds for the planted -densest sub-hypergraph problem L Corinzia, P Penna, W Szpankowski, JM Buhmann Artificial Intelligence and Statistics (AISTATS 2022), 2022 | 6 | 2022 |
| Information Diffusion and Rumor Spreading A Kalogeratos, K Scaman, L Corinzia, N Vayatis Cooperative and Graph Signal Processing, 651-678, 2018 | 6 | 2018 |
| A Spectral Method for Activity Shaping in Continuous-Time Information Cascades K Scaman, A Kalogeratos, L Corinzia, N Vayatis arXiv preprint arXiv:1709.05231, 2017 | 5 | 2017 |
| Unsupervised mitral valve segmentation in echocardiography with neural network matrix factorization L Corinzia, J Provost, A Candreva, M Tamarasso, F Maisano, ... Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 4 | 2019 |
| ChromaX: a fast and scalable breeding program simulator OG Younis, M Turchetta, D Ariza Suarez, S Yates, B Studer, ... Bioinformatics 39 (12), btad691, 2023 | 2 | 2023 |
| On maximum-likelihood estimation in the all-or-nothing regime L Corinzia, P Penna, W Szpankowski, JM Buhmann IEEE international symposium of information theory 2021, 2021 | 1 | 2021 |
| Artificial intelligence in echocardiography diagnostics–detection of takotsubo syndrome D Di Vece, F Laumer, M Schwyzer, R Burkholz, L Corinzia, VL Cammann, ... European Heart Journal 41 (Supplement_2), ehaa946. 1221, 2020 | 1 | 2020 |
| Partial network immunization in Continuous-Time Information Cascades A Kalogeratos, K Scaman, L Corinzia, N Vayatis Complex Networks and Their Applications, 113-115, 2017 | 1 | 2017 |
| Breeding Programs Optimization with Reinforcement Learning OG Younis, L Corinzia, IN Athanasiadis, JM Buhmann, A Krause, ... NeurIPS Workshop: Tackling Climate Change with Machine Learning, 2023 | | 2023 |
| Planted models in machine learning: theory and applications L Corinzia ETH Zurich, 2021 | | 2021 |
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
