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Luca Corinzia
Luca Corinzia
Postdoc in Machine Learning, ETH Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Variational federated multi-task learning
L Corinzia, A Beuret, JM Buhmann
arXiv preprint arXiv:1906.06268, 2019
1702019
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
212022
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
152019
Transfer Learning by Adaptive Merging of Multiple Models
RC Geyer, V Wegmayr, L Corinzia
International Conference on Medical Imaging with Deep Learning MIDL, 2019
152019
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
122020
IFedAvg: Interpretable Data-Interoperability for Federated Learning
D Roschewitz, MA Hartley, L Corinzia, M Jaggi
Interpretable Machine Learning in Healthcare Workshop ICML 2021, 2021
82021
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
72022
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
72019
Information Diffusion and Rumor Spreading
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Cooperative and Graph Signal Processing, 651-678, 2018
62018
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
52022
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
52017
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
42019
ChromaX: a fast and scalable breeding program simulator
OG Younis, M Turchetta, D Ariza Suarez, S Yates, B Studer, ...
Bioinformatics 39 (12), btad691, 2023
12023
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
12021
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
12020
Partial network immunization in Continuous-Time Information Cascades
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Complex Networks and Their Applications, 113-115, 2017
12017
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
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