Luca Corinzia

According to our database, Luca Corinzia authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Breeding Programs Optimization with Reinforcement Learning.

Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta

CoRR, 2024

2023

ChromaX: a fast and scalable breeding program simulator.

Omar G. Younis, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia

Bioinform., December, 2023

2022

Learning Long-Term Crop Management Strategies with CyclesGym.

Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim M. Buhmann, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Statistical and computational thresholds for the planted k-densest sub-hypergraph problem.

Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Planted models in machine learning: theory and applications.

Luca Corinzia

PhD thesis, 2021

IFedAvg: Interpretable Data-Interoperability for Federated Learning.

David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi

CoRR, 2021

On maximum-likelihood estimation in the all-or-nothing regime.

Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography.

Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann

Artif. Intell. Medicine, 2020

2019

Variational Federated Multi-Task Learning.

Luca Corinzia, Joachim M. Buhmann

CoRR, 2019

Transfer Learning by Adaptive Merging of Multiple Models.

Robin Geyer, Luca Corinzia, Viktor Wegmayr

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Exact Recovery for a Family of Community-Detection Generative Models.

Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann

Proceedings of the IEEE International Symposium on Information Theory, 2019

The Next 700 Policy Miners: A Universal Method for Building Policy Miners.

Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization.

Luca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann

Proceedings of the Artificial Intelligence in Medicine, 2019

2017

A Spectral Method for Activity Shaping in Continuous-Time Information Cascades.

Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis

CoRR, 2017