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2020 – today
- 2022
[c33]Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko
, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. ICASSP 2022: 6767-6771- [c32]Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. ICASSP 2022: 6972-6976 - [i15]Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot:
Differentially Private Speaker Anonymization. CoRR abs/2202.11823 (2022) - [i14]B. Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec:
Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data. CoRR abs/2204.04452 (2022) - 2021
- [c31]Salima Mdhaffar, Marc Tommasi, Yannick Estève:
Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation. SPECOM 2021: 426-436 - [i13]Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. CoRR abs/2110.11688 (2021) - [i12]Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework. CoRR abs/2111.03777 (2021) - [i11]Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. CoRR abs/2111.04194 (2021) - [i10]Akira Campbell, Thomas Kleinbauer, Marc Tommasi, Emmanuel Vincent:
Enabling Voice-Based Apps with European Values. ERCIM News 2021(126) (2021) - 2020
- [j4]Thomas Ricatte, Rémi Gilleron, Marc Tommasi:
Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory. J. Mach. Learn. Res. 21: 48:1-48:18 (2020) - [c30]Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. AISTATS 2020: 864-874 - [c29]Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. ICASSP 2020: 2802-2806 - [c28]Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
A Comparative Study of Speech Anonymization Metrics. INTERSPEECH 2020: 1708-1712 - [c27]Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-Vector Based Speaker Anonymization. INTERSPEECH 2020: 1713-1717 - [i9]Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-vector Based Speaker Anonymization. CoRR abs/2005.08601 (2020)
2010 – 2019
- 2019
- [c26]Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019: 3700-3704 - [i8]Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. CoRR abs/1901.08460 (2019) - [i7]Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers. CoRR abs/1911.03934 (2019) - [i6]Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? CoRR abs/1911.04913 (2019) - 2018
- [c25]Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi:
Personalized and Private Peer-to-Peer Machine Learning. AISTATS 2018: 473-481 - 2017
- [c24]Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi:
Decentralized Collaborative Learning of Personalized Models over Networks. AISTATS 2017: 509-517 - [i5]Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi:
Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning. CoRR abs/1705.08435 (2017) - 2016
- [i4]Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi:
Decentralized Collaborative Learning of Personalized Models over Networks. CoRR abs/1610.05202 (2016) - 2014
- [c23]Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi:
Learning Sequential Tree-to-Word Transducers. LATA 2014: 490-502 - [c22]David Chatel, Pascal Denis, Marc Tommasi:
Fast Gaussian Pairwise Constrained Spectral Clustering. ECML/PKDD (1) 2014: 242-257 - [c21]Thomas Ricatte, Rémi Gilleron, Marc Tommasi:
Hypernode Graphs for Spectral Learning on Binary Relations over Sets. ECML/PKDD (2) 2014: 662-677 - 2013
- [c20]Thomas Ricatte, Gemma C. Garriga, Rémi Gilleron, Marc Tommasi:
Learning from Multiple Graphs Using a Sigmoid Kernel. ICMLA (2) 2013: 140-145 - 2012
- [c19]Antonino Freno, Mikaela Keller, Marc Tommasi:
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS 2012: 1871-1879 - [c18]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI 2012: 265-274 - [p1]Isabelle Tellier, Marc Tommasi:
Conditional Random Fields for Information Extraction. Textual Information Access: Statistical Models 2012: 179-220 - [i3]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. CoRR abs/1210.4860 (2012) - 2011
- [c17]Grégoire Laurence, Aurélien Lemay, Joachim Niehren, Slawek Staworko, Marc Tommasi:
Normalization of Sequential Top-Down Tree-to-Word Transducers. LATA 2011: 354-365
2000 – 2009
- 2008
- [c16]François Denis, Édouard Gilbert, Amaury Habrard, Faissal Ouardi, Marc Tommasi:
Relevant Representations for the Inference of Rational Stochastic Tree Languages. ICGI 2008: 57-70 - [c15]Pierre Senellart, Avin Mittal, Daniel Muschick, Rémi Gilleron, Marc Tommasi:
Automatic wrapper induction from hidden-web sources with domain knowledge. WIDM 2008: 9-16 - [i2]François Denis, Amaury Habrard, Rémi Gilleron, Marc Tommasi, Édouard Gilbert:
On Probability Distributions for Trees: Representations, Inference and Learning. CoRR abs/0807.2983 (2008) - 2006
- [b1]Marc Tommasi:
Structures arborescentes et apprentissage automatique. (Tree Structures and Machine Learning). Charles de Gaulle University, Lille, France, 2006 - [c14]Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre:
Extraction de relations dans les documents Web. EGC 2006: 415-420 - [c13]Rémi Gilleron, Florent Jousse, Isabelle Tellier, Marc Tommasi:
XML Document Transformation with Conditional Random Fields. INEX 2006: 525-539 - [c12]Rémi Gilleron, Patrick Marty, Marc Tommasi, Fabien Torre:
Interactive Tuples Extraction from Semi-Structured Data. Web Intelligence 2006: 997-1004 - [i1]Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi:
Residual Finite Tree Automata. CoRR abs/cs/0609015 (2006) - 2005
- [c11]Florent Jousse, Isabelle Tellier, Marc Tommasi, Patrick Marty:
Learning to Extract Answers in Question Answering: Experimental Studies. CORIA 2005: 85 - 2004
- [c10]Julien Carme, Joachim Niehren, Marc Tommasi:
Querying Unranked Trees with Stepwise Tree Automata. RTA 2004: 105-118 - 2003
- [c9]Julien Carme, Rémi Gilleron, Aurélien Lemay, Alain Terlutte, Marc Tommasi:
Residual Finite Tree Automata. Developments in Language Theory 2003: 171-182 - [c8]Francesco De Comité, Rémi Gilleron, Marc Tommasi:
Learning Multi-label Alternating Decision Trees from Texts and Data. MLDM 2003: 35-49 - 2002
- [j3]Max Dauchet, Sophie Tison, Marc Tommasi:
Reduction de la non-linearite des morphismes d'arbres Recognizable tree-languages and non-linear morphisms. Theor. Comput. Sci. 281(1-2): 219-233 (2002) - [c7]Daniela Dudau Sofronie, Isabelle Tellier, Marc Tommasi:
A Tool for Language Learning Based on Categorial Grammars and Semantic Information. ICGI 2002: 303-305 - 2001
- [j2]Franck Seynhaeve, Sophie Tison, Marc Tommasi, Ralf Treinen:
Grid structures and undecidable constraint theories. Theor. Comput. Sci. 258(1-2): 453-490 (2001)
1990 – 1999
- 1999
- [j1]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Set Constraints and Automata. Inf. Comput. 149(1): 1-41 (1999) - [c6]Franck Seynhaeve, Sophie Tison, Marc Tommasi:
Homomorphisms and Concurrent Term Rewriting. FCT 1999: 475-487 - [c5]Anne-Cécile Caron, Franck Seynhaeve, Sophie Tison, Marc Tommasi:
Deciding the Satisfiability of Quantifier free Formulae on One-Step Rewriting. RTA 1999: 103-117 - 1997
- [c4]Franck Seynhaeve, Marc Tommasi, Ralf Treinen:
Grid Structure and Undecidable Constraint Theories. TAPSOFT 1997: 357-368 - 1994
- [c3]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Some new Decidability Results on Positive and Negative Set Constraints. CCL 1994: 336-351 - 1993
- [c2]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Solving Systems of Set Constraints with Negated Subset Relationships. FOCS 1993: 372-380 - [c1]Rémi Gilleron, Sophie Tison, Marc Tommasi:
Solving Systems of Set Constraints using Tree Automata. STACS 1993: 505-514
Coauthor Index
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last updated on 2022-06-25 02:10 CEST by the dblp team
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