Luca Corinzia

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Multiple Models

Reinforcement Learning

Patient Specific

Top Venues

Artif. Intell. Medicine

Publications

Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta
Breeding Programs Optimization with Reinforcement Learning. CoRR (2024)
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)
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)
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. AISTATS (2022)
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
On maximum-likelihood estimation in the all-or-nothing regime. ISIT (2021)
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
On maximum-likelihood estimation in the all-or-nothing regime. CoRR (2021)
David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi
IFedAvg: Interpretable Data-Interoperability for Federated Learning. CoRR (2021)
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. CoRR (2020)
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 (2020)
Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. CoRR (2020)
Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. CCS (2019)
Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. CoRR (2019)
Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann
Exact Recovery for a Family of Community-Detection Generative Models. ISIT (2019)
Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann
Exact Recovery for a Family of Community-Detection Generative Models. CoRR (2019)
Luca Corinzia, Joachim M. Buhmann
Variational Federated Multi-Task Learning. CoRR (2019)
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)
Robin Geyer, Luca Corinzia, Viktor Wegmayr
Transfer Learning by Adaptive Merging of Multiple Models. MIDL (2019)
Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades. CoRR (2017)