Luca Corinzia

According to our database1, Luca Corinzia authored at least 14 papers between 2017 and 2024.

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Bibliography

2024
Breeding Programs Optimization with Reinforcement Learning.
CoRR, 2024

2023
ChromaX: a fast and scalable breeding program simulator.
Bioinform., December, 2023

2022
Learning Long-Term Crop Management Strategies with CyclesGym.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Planted models in machine learning: theory and applications.
PhD thesis, 2021

IFedAvg: Interpretable Data-Interoperability for Federated Learning.
CoRR, 2021

On maximum-likelihood estimation in the all-or-nothing regime.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography.
Artif. Intell. Medicine, 2020

2019
Variational Federated Multi-Task Learning.
CoRR, 2019

Transfer Learning by Adaptive Merging of Multiple Models.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Exact Recovery for a Family of Community-Detection Generative Models.
Proceedings of the IEEE International Symposium on Information Theory, 2019

The Next 700 Policy Miners: A Universal Method for Building Policy Miners.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization.
Proceedings of the Artificial Intelligence in Medicine, 2019

2017
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades.
CoRR, 2017


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