Marc Tommasi

According to our database, Marc Tommasi authored at least 59 papers between 1993 and 2024.

Collaborative distances:

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

2024

TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods.

Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi

CoRR, 2024

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas.

Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard

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

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia

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

2023

Differentially Private Speaker Anonymization.

Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot

Proc. Priv. Enhancing Technol., January, 2023

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

Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard

CoRR, 2023

Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi

CoRR, 2023

Differential Privacy has Bounded Impact on Fairness in Classification.

Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi

Proceedings of the International Conference on Machine Learning, 2023

High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent.

Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Collaborative Algorithms for Online Personalized Mean Estimation.

Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi

Trans. Mach. Learn. Res., 2022

Privacy and Utility of X-Vector Based Speaker Anonymization.

Brij Mohan Lal Srivastava, Mohamed Maouche, Md. Sahidullah, Emmanuel Vincent, Aurélien Bellet, Marc Tommasi, Natalia A. Tomashenko, Xin Wang, Junichi Yamagishi

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Fairness Certificates for Differentially Private Classification.

Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi

CoRR, 2022

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

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec

CoRR, 2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Speech Privacy with Slicing.

Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization.

Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

Proceedings of the International Conference on Machine Learning, 2022

Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework.

Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre

Proceedings of the IEEE International Conference on Acoustics, 2022

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition.

Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Enabling Voice-Based Apps with European Values.

Akira Campbell, Thomas Kleinbauer, Marc Tommasi, Emmanuel Vincent

ERCIM News, 2021

Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation.

Salima Mdhaffar, Marc Tommasi, Yannick Estève

Proceedings of the Speech and Computer - 23rd International Conference, 2021

2020

Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory.

Thomas Ricatte, Rémi Gilleron, Marc Tommasi

J. Mach. Learn. Res., 2020

Design Choices for X-Vector Based Speaker Anonymization.

Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Comparative Study of Speech Anonymization Metrics.

Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers.

Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs.

Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi

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.

Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi

CoRR, 2019

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?

Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Personalized and Private Peer-to-Peer Machine Learning.

Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning.

Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi

CoRR, 2017

Decentralized Collaborative Learning of Personalized Models over Networks.

Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014

Hypernode Graphs for Spectral Learning on Binary Relations over Sets.

Thomas Ricatte, Rémi Gilleron, Marc Tommasi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Fast Gaussian Pairwise Constrained Spectral Clustering.

David Chatel, Pascal Denis, Marc Tommasi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Learning Sequential Tree-to-Word Transducers.

Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi

Proceedings of the Language and Automata Theory and Applications, 2014

2013

Learning from Multiple Graphs Using a Sigmoid Kernel.

Thomas Ricatte, Gemma C. Garriga, Rémi Gilleron, Marc Tommasi

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.

Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling.

Antonino Freno, Mikaela Keller, Marc Tommasi

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.

Isabelle Tellier, Marc Tommasi

Proceedings of the Textual Information Access: Statistical Models, 2012

2011

Normalization of Sequential Top-Down Tree-to-Word Transducers.

Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi

Proceedings of the Language and Automata Theory and Applications, 2011

2008

On Probability Distributions for Trees: Representations, Inference and Learning

François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert

CoRR, 2008

Automatic wrapper induction from hidden-web sources with domain knowledge.

Pierre Senellart, Avin Mittal, Daniel Muschick, Rémi Gilleron, Marc Tommasi

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.

François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2006

Interactive Tuples Extraction from Semi-Structured Data.

Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

XML Document Transformation with Conditional Random Fields.

Rémi Gilleron, Florent Jousse, Isabelle Tellier, Marc Tommasi

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Extraction de relations dans les documents Web.

Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

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

Marc Tommasi

, 2006

2005

Learning to Extract Answers in Question Answering: Experimental Studies.

Florent Jousse, Isabelle Tellier, Marc Tommasi, Patrick Marty

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005

2004

Querying Unranked Trees with Stepwise Tree Automata.

Julien Carme, Joachim Niehren, Marc Tommasi

Proceedings of the Rewriting Techniques and Applications, 15th International Conference, 2004

2003

Learning Multi-label Alternating Decision Trees from Texts and Data.

Francesco De Comité, Rémi Gilleron, Marc Tommasi

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Residual Finite Tree Automata.

Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi

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.

Max Dauchet, Sophie Tison, Marc Tommasi

Theor. Comput. Sci., 2002

A Tool for Language Learning Based on Categorial Grammars and Semantic Information.

Daniela Dudau Sofronie, Isabelle Tellier, Marc Tommasi

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

2001

Grid structures and undecidable constraint theories.

Franck Seynhaeve, Sophie Tison, Marc Tommasi, Ralf Treinen

Theor. Comput. Sci., 2001

1999

Set Constraints and Automata.

Rémi Gilleron, Sophie Tison, Marc Tommasi

Inf. Comput., 1999

Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting.

Anne-Cécile Caron, Franck Seynhaeve, Sophie Tison, Marc Tommasi

Proceedings of the Rewriting Techniques and Applications, 10th International Conference, 1999

Homomorphisms and Concurrent Term Rewriting.

Franck Seynhaeve, Sophie Tison, Marc Tommasi

Proceedings of the Fundamentals of Computation Theory, 12th International Symposium, 1999

1997

Grid Structure and Undecidable Constraint Theories.

Franck Seynhaeve, Marc Tommasi, Ralf Treinen

Proceedings of the TAPSOFT'97: Theory and Practice of Software Development, 1997

1994

Some new Decidability Results on Positive and Negative Set Constraints.

Rémi Gilleron, Sophie Tison, Marc Tommasi

Proceedings of the Constraints in Computational Logics, First International Conference, 1994

1993

Solving Systems of Set Constraints using Tree Automata.

Rémi Gilleron, Sophie Tison, Marc Tommasi

Proceedings of the STACS 93, 1993

Solving Systems of Set Constraints with Negated Subset Relationships

Rémi Gilleron, Sophie Tison, Marc Tommasi

Proceedings of the 34th Annual Symposium on Foundations of Computer Science, 1993