Marc Tommasi

Orcid: 0000-0003-2838-4408

According to our database1, Marc Tommasi authored at least 56 papers between 1993 and 2023.

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Bibliography

2023
Differentially Private Speaker Anonymization.
Proc. Priv. Enhancing Technol., January, 2023

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration.
CoRR, 2023

Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm.
CoRR, 2023

Differential Privacy has Bounded Impact on Fairness in Classification.
Proceedings of the International Conference on Machine Learning, 2023

High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Collaborative Algorithms for Online Personalized Mean Estimation.
Trans. Mach. Learn. Res., 2022

Privacy and Utility of X-Vector Based Speaker Anonymization.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Fairness Certificates for Differentially Private Classification.
CoRR, 2022

Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data.
CoRR, 2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Speech Privacy with Slicing.
Proceedings of the Interspeech 2022, 2022

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization.
Proceedings of the International Conference on Machine Learning, 2022

Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework.
Proceedings of the IEEE International Conference on Acoustics, 2022

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Enabling Voice-Based Apps with European Values.
ERCIM News, 2021

Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation.
Proceedings of the Speech and Computer - 23rd International Conference, 2021

2020
Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory.
J. Mach. Learn. Res., 2020

Design Choices for X-Vector Based Speaker Anonymization.
Proceedings of the Interspeech 2020, 2020

A Comparative Study of Speech Anonymization Metrics.
Proceedings of the Interspeech 2020, 2020

Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph.
CoRR, 2019

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
Proceedings of the Interspeech 2019, 2019

2018
Personalized and Private Peer-to-Peer Machine Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning.
CoRR, 2017

Decentralized Collaborative Learning of Personalized Models over Networks.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014
Hypernode Graphs for Spectral Learning on Binary Relations over Sets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Fast Gaussian Pairwise Constrained Spectral Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Learning Sequential Tree-to-Word Transducers.
Proceedings of the Language and Automata Theory and Applications, 2014

2013
Learning from Multiple Graphs Using a Sigmoid Kernel.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Conditional Random Fields for Information Extraction.
Proceedings of the Textual Information Access: Statistical Models, 2012

2011
Normalization of Sequential Top-Down Tree-to-Word Transducers.
Proceedings of the Language and Automata Theory and Applications, 2011

2008
On Probability Distributions for Trees: Representations, Inference and Learning
CoRR, 2008

Automatic wrapper induction from hidden-web sources with domain knowledge.
Proceedings of the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), 2008

Relevant Representations for the Inference of Rational Stochastic Tree Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2006
Interactive Tuples Extraction from Semi-Structured Data.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

XML Document Transformation with Conditional Random Fields.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Extraction de relations dans les documents Web.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Structures arborescentes et apprentissage automatique. (Tree Structures and Machine Learning).
, 2006

2005
Learning to Extract Answers in Question Answering: Experimental Studies.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005

2004
Querying Unranked Trees with Stepwise Tree Automata.
Proceedings of the Rewriting Techniques and Applications, 15th International Conference, 2004

2003
Learning Multi-label Alternating Decision Trees from Texts and Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Residual Finite Tree Automata.
Proceedings of the Developments in Language Theory, 7th International Conference, 2003

2002
Reduction de la non-linearite des morphismes d'arbres Recognizable tree-languages and non-linear morphisms.
Theor. Comput. Sci., 2002

A Tool for Language Learning Based on Categorial Grammars and Semantic Information.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

2001
Grid structures and undecidable constraint theories.
Theor. Comput. Sci., 2001

1999
Set Constraints and Automata.
Inf. Comput., 1999

Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting.
Proceedings of the Rewriting Techniques and Applications, 10th International Conference, 1999

Homomorphisms and Concurrent Term Rewriting.
Proceedings of the Fundamentals of Computation Theory, 12th International Symposium, 1999

1997
Grid Structure and Undecidable Constraint Theories.
Proceedings of the TAPSOFT'97: Theory and Practice of Software Development, 1997

1994
Some new Decidability Results on Positive and Negative Set Constraints.
Proceedings of the Constraints in Computational Logics, First International Conference, 1994

1993
Solving Systems of Set Constraints using Tree Automata.
Proceedings of the STACS 93, 1993

Solving Systems of Set Constraints with Negated Subset Relationships
Proceedings of the 34th Annual Symposium on Foundations of Computer Science, 1993


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