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2020 – today
- 2024
[i9]Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta:
Breeding Programs Optimization with Reinforcement Learning. CoRR abs/2406.03932 (2024)- 2023
- [j2]Omar G. Younis
, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia:
ChromaX: a fast and scalable breeding program simulator. Bioinform. 39(12) (2023) - 2022
- [c7]Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. AISTATS 2022: 11615-11640 - [c6]Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim M. Buhmann, Andreas Krause:
Learning Long-Term Crop Management Strategies with CyclesGym. NeurIPS 2022 - 2021
- [b1]Luca Corinzia:
Planted models in machine learning: theory and applications. ETH Zurich, Zürich, Switzerland, 2021 - [c5]Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
On maximum-likelihood estimation in the all-or-nothing regime. ISIT 2021: 1106-1111 - [i8]Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
On maximum-likelihood estimation in the all-or-nothing regime. CoRR abs/2101.09994 (2021) - [i7]David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi:
IFedAvg: Interpretable Data-Interoperability for Federated Learning. CoRR abs/2107.06580 (2021) - 2020
- [j1]Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann:
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. Artif. Intell. Medicine 110: 101975 (2020) - [i6]Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann:
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. CoRR abs/2008.05867 (2020) - [i5]Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. CoRR abs/2011.11500 (2020)
2010 – 2019
- 2019
- [c4]Luca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann:
Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. AIME 2019: 410-419 - [c3]Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin:
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. CCS 2019: 95-112 - [c2]Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann:
Exact Recovery for a Family of Community-Detection Generative Models. ISIT 2019: 415-419 - [c1]Robin Geyer, Luca Corinzia, Viktor Wegmayr:
Transfer Learning by Adaptive Merging of Multiple Models. MIDL 2019: 185-196 - [i4]Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann:
Exact Recovery for a Family of Community-Detection Generative Models. CoRR abs/1901.06799 (2019) - [i3]Luca Corinzia, Joachim M. Buhmann:
Variational Federated Multi-Task Learning. CoRR abs/1906.06268 (2019) - [i2]Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin:
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. CoRR abs/1908.05994 (2019) - 2017
- [i1]Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis:
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. CoRR abs/1709.05231 (2017)
Coauthor Index
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