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Research

Publications: Mr Salvatore Riccio

Bubba TA, Calatroni L, Catozzi A, Crisci S, Pock T, Pragliola M, Rautio S, Riccio D et al. ( 2024 ) . Bilevel Learning of Regularization Models and Their Discretization for Image Deblurring and Super-Resolution . Advanced Techniques in Optimization for Machine Learning and Imaging , vol. 61 , Springer Nature
Benning M, Bubba TA, Ratti L, Riccio D ( 2024 ) . Trust your source: quantifying source condition elements for variational regularisation methods . IMA Journal of Applied Mathematics vol. 89 , ( 1 ) 12 - 43 .
Kabri S, Auras A, Riccio D, Bauermeister H, Benning M, Moeller M, Burger M ( 2024 ) . Convergent Data-Driven Regularizations for CT Reconstruction . Communications on Applied Mathematics and Computation vol. 6 , ( 2 ) 1342 - 1368 .
Riccio SD, Dyankov D, Jansen G, Di Fatta G, Nicosia G ( 2020 ) . Pareto Multi-task Deep Learning . Artificial Neural Networks and Machine Learning – ICANN 2020 , vol. 12397 , Springer Nature
Dyankov D, Riccio SD, Di Fatta G, Nicosia G ( 2019 ) . Multi-task Learning by Pareto Optimality . Lecture Notes in Computer Science . vol. 11943 , 605 - 618 .
Greco A, Riccio SD, Timmis J, Nicosia G ( 2020 ) . Assessing Algorithm Parameter Importance Using Global Sensitivity Analysis . Springer . Conference: SEA² 2019 ( Kalamata, Greece )