Mattia Cerrato

According to our database1, Mattia Cerrato authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Partitioned least squares.
Mach. Learn., September, 2024

10 Years of Fair Representations: Challenges and Opportunities.
CoRR, 2024

Differentially Private Sum-Product Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FairSwiRL: fair semi-supervised classification with representation learning.
Mach. Learn., September, 2023

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.
CoRR, 2023

Fair Semi-supervised Representation Learning for Tabular Data Classification.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

The Case for Correctability in Fair Machine Learning.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Hierarchical priors for Hyperspherical Prototypical Networks.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Privacy-Preserving Learning of Random Forests Without Revealing the Trees.
Proceedings of the Discovery Science - 26th International Conference, 2023

Invariant Representations with Stochastically Quantized Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fair Interpretable Representation Learning with Correction Vectors.
CoRR, 2022

Fair Interpretable Learning via Correction Vectors.
CoRR, 2022

Fair Group-Shared Representations with Normalizing Flows.
CoRR, 2022

2021
Ranking Algorithms for Word Ordering in Surface Realization.
Inf., 2021

2020
Constraining deep representations with a noise module for fair classification.
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.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Taxonomic and Whole Object Constraints: A Deep Architecture.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019


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