Mattia Cerrato

According to our database, Mattia Cerrato authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Partitioned least squares.

Roberto Esposito, Mattia Cerrato, Marco Locatelli

Mach. Learn., September, 2024

10 Years of Fair Representations: Challenges and Opportunities.

Mattia Cerrato, Marius Köppel, Philipp Wolf, Stefan Kramer

CoRR, 2024

Differentially Private Sum-Product Networks.

Xenia Heilmann, Mattia Cerrato, Ernst Althaus

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.

Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FairSwiRL: fair semi-supervised classification with representation learning.

Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito

Mach. Learn., September, 2023

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.

Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King

CoRR, 2023

Fair Semi-supervised Representation Learning for Tabular Data Classification.

Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

The Case for Correctability in Fair Machine Learning.

Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Hierarchical priors for Hyperspherical Prototypical Networks.

Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Privacy-Preserving Learning of Random Forests Without Revealing the Trees.

Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus

Proceedings of the Discovery Science - 26th International Conference, 2023

Invariant Representations with Stochastically Quantized Neural Networks.

Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fair Interpretable Representation Learning with Correction Vectors.

Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer

CoRR, 2022

Fair Interpretable Learning via Correction Vectors.

Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer

CoRR, 2022

Fair Group-Shared Representations with Normalizing Flows.

Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer

CoRR, 2022

2021

Ranking Algorithms for Word Ordering in Surface Realization.

Alessandro Mazzei, Mattia Cerrato, Roberto Esposito, Valerio Basile

Inf., 2021

2020

Constraining deep representations with a noise module for fair classification.

Mattia Cerrato, Roberto Esposito, Laura Li Puma

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Fair pairwise learning to rank.

Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Taxonomic and Whole Object Constraints: A Deep Architecture.

Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019