Marc Tommasi
68
Documents
Presentation
Professor in Computer Science at [Lille university](https://www.univ-lille.fr/). I am a member of [CRIStAL](https://www.cristal.univ-lille.fr/?rubrique9) lab. I am the leader of the [Magnet Team](https://team.inria.fr/magnet).
My research interests are machine learning, structured prediction for trees and graphs. I have also studied tree automata and set constraints.
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On speaker verification from the neural network footprint of personalized acoustic modelsJournées d'Études sur la Parole - JEP2022, Jun 2022, Île de Noirmoutier, France
Conference papers
hal-03626964v1
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Enhancing speech privacy with slicingInterspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea
Conference papers
hal-03369137v2
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Differentially Private Coordinate Descent for Composite Empirical Risk MinimizationICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.14948-14978
Conference papers
hal-03424974v3
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Extraction d'informations liées au locuteur depuis un modèle acoustique personnaliséJEP 2022, Jun 2022, île de Noirmoutier, France
Conference papers
hal-03706944v1
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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare SettingsNeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Conference papers
hal-03900026v1
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Retrieving Speaker Information from Personalized Acoustic Models for Speech RecognitionIEEE ICASSP 2022, 2022, Singapour, Singapore
Conference papers
hal-03539741v1
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Privacy attacks for automatic speech recognition acoustic models in a federated learning frameworkICASSP 2022, 2022, Singapour, Singapore
Conference papers
hal-03539742v2
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Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy PreservationSPECOM 2021 - 23rd International Conference on Speech and Computer, Sep 2021, St Petersburg, Russia. pp.426 - 436, ⟨10.1007/978-3-030-87802-3_39⟩
Conference papers
hal-03369206v1
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Fully Decentralized Joint Learning of Personalized Models and Collaboration GraphsAISTATS 2020 - The 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palerme / Virtual, Italy
Conference papers
hal-03100057v1
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Evaluating Voice Conversion-based Privacy Protection against Informed AttackersICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806
Conference papers
hal-02355115v2
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A comparative study of speech anonymization metricsINTERSPEECH 2020, Oct 2020, Shanghai, China
Conference papers
hal-02907918v1
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Design Choices for X-vector Based Speaker AnonymizationINTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
Conference papers
hal-02610447v2
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Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
Conference papers
hal-02166434v1
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Personalized and Private Peer-to-Peer Machine LearningAISTATS 2018 - 21st International Conference on Artificial Intelligence and Statistics, Apr 2018, Lanzarote, Spain. pp.1-20
Conference papers
hal-01745796v1
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Communication-Efficient Decentralized Boosting while Discovering the Collaboration GraphNeurIPS 2018 - Workshop on Machine Learning on the Phone and other Consumer Devices, 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2), Dec 2018, Montréal, Canada
Conference papers
hal-02166758v1
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Decentralized Collaborative Learning of Personalized Models over NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, Florida., United States
Conference papers
hal-01533182v1
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Personalized and Private Peer-to-Peer Machine LearningNIPS 2017 - Workshop on Machine Learning on the Phone and other Consumer Devices, Dec 2017, Long Beach, United States
Conference papers
hal-01665422v1
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Hypernode Graphs for Spectral Learning on Binary Relations over SetsECML/PKDD - 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2014, Nancy, France
Conference papers
hal-01017025v1
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Clustering Spectral avec Contraintes de Paires réglées par Noyaux GaussiensCAP 2014, Jul 2014, Saint-Etienne, France
Conference papers
hal-01105339v1
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Hypernode Graphs for Spectral Learning on Binary Relations over SetsConférence Francophone sur l'Apprentissage Automatique (Cap 2014), Jul 2014, Saint-Etienne, France. ⟨10.1007/978-3-662-44851-9_42⟩
Conference papers
hal-01104618v1
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Learning Sequential Tree-to-Word Transducers8th International Conference on Language and Automata Theory and Applications, Mar 2014, Madrid, Spain
Conference papers
hal-00912969v1
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Fast Gaussian Pairwise Constrained Spectral ClusteringECML/PKDD - 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2014, Nancy, France. pp.242 - 257, ⟨10.1007/978-3-662-44848-9_16⟩
Conference papers
hal-01017269v1
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Learning from Multiple Graphs using a Sigmoid KernelThe 12th International Conference on Machine Learning and Applications (ICMLA'13), Dec 2013, Miami, United States
Conference papers
hal-00913237v1
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Spectral Estimation of Conditional Random Graph Models for Large-Scale Network dataUAI 2012 - 28th Conference on Uncertainty in Artificial Intelligence, 2012, Avalon, United States
Conference papers
hal-00714446v1
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Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network ModelingNeural Information Processing Systems (NIPS), Dec 2012, Lake Tahoe, United States
Conference papers
hal-00750345v1
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Normalization of Sequential Top-Down Tree-to-Word Transducers5th International Conference on Language Automata Theory and Appliciations, May 2011, Tarragona, Spain
Conference papers
inria-00566291v1
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Relevant Representations for the Inference of Rational Stochastic Tree LanguagesInternational Colloquium on Grammatical Inference, 2008, St Malo, France. pp.57-70
Conference papers
hal-00293511v3
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Automatic Wrapper Induction from Hidden-Web Sources with Domain KnowledgeInternational Workshop on Web information and data managment, Oct 2008, Napa, United States. pp.9-16
Conference papers
inria-00337098v1
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On Probability Distributions for Trees: Representations, Inference and LearningNIPS Workshop on Representations and Inference on Probability Distributions, Dec 2007, Whistler, Canada
Conference papers
inria-00294636v1
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XML Document Transformation with Conditional Random FieldsINEX 2006, Dec 2006, Dagstuhl, Germany
Conference papers
inria-00147052v1
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Interactive Tuples Extraction from Semi-Structured DataWeb Intelligence, Dec 2006, Hong Kong, China
Conference papers
inria-00581253v1
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Conditional Random Fields for XML TreesWorkshop on Mining and Learning in Graphs, Sep 2006, Berlin, Germany
Conference papers
inria-00118761v1
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Champs Conditionnels Aléatoires pour l'Annotation d'ArbresCAp 2006, May 2006, Trégastel, France
Conference papers
inria-00117014v1
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Querying Unranked Trees with Stepwise Tree Automata19th International Conference on Rewriting Techniques and Applications, 2004, Aachen, Georgia. pp.105--118
Conference papers
inria-00536529v1
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Residual Finite Tree Automata7th International Conference on Developments in Language Theory, Jul 2003, Szeged, Hungary, Hungary. pp.171 -- 182
Conference papers
inria-00091272v2
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Learning Multi-label Alternating Decision Trees from Texts and DataInternational Conference on Machine Learning and Data Mining, 2003, Leipzig, Georgia. pp.35-49
Conference papers
inria-00536733v1
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Text Classification from Positive and Unlabeled ExamplesProceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'02, 2002, Grenoble, France. pp.1927--1934
Conference papers
inria-00538889v1
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Homomorphisms and concurrent term rewritingFCT 1999 - International Symposium on Fundamentals of Computation Theory, Aug 1999, Iasi, Romania. pp.475-487, ⟨10.1007/3-540-48321-7_40⟩
Conference papers
hal-02193779v1
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Deciding the Satisfiability of Quantifier free Formulae on One-Step RewritingRewriting Techniques and Applications, 10th International Conference, RTA-99, Trento, Italy, July 2-4, 1999, Proceedings, 1999, Unknown, Unknown Region. pp.103--117, ⟨10.1007/3-540-48685-2_9⟩
Conference papers
hal-01820502v1
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Some new Decidability Results on Positive and Negative Set ConstraintsProceedings of First International Conference on Constraints in Computational Logics, CCL'94, 1994, Munich, Germany. pp.336--351
Conference papers
inria-00538880v1
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Solving Systems of Set Constraints using Tree AutomataProceedings of the 10th Annual Symposium on Theoretical Aspects of Computer Science, STACS'93, 1993, Würzburg, Germany. pp.505--514
Conference papers
inria-00538878v1
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Solving Systems of Set Constraints with Negated Subset RelationshipsProceedings of the $34^th$ Symposium on Foundations of Computer Science, FOCS'93, 1993, Palo Alto California, United States. pp.372--380
Conference papers
inria-00538879v1
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Tree Automata Techniques and Applicationspp.262, 2008
Books
hal-03367725v1
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Champs Markoviens Conditionnels pour l'extraction d'informationEric Gaussier and François Yvon. Modèles probabilistes pour l'accès à l'information textuelle, Hermès, pp.223-267, 2011
Book sections
inria-00514525v1
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Sequential Tree-to-Word Transducers: Normalization, Minimization, and Learning2015
Other publications
hal-01186993v1
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L’apprentissage automatique : le diable n’est pas dans l’algorithme2015
Other publications
hal-01246178v1
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Differential Privacy has Bounded Impact on Fairness in Classification2022
Preprints, Working Papers, ...
hal-03902203v1
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Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data2022
Preprints, Working Papers, ...
hal-03905091v1
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High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent2022
Preprints, Working Papers, ...
hal-03714465v2
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Probability Estimation over Large-Scale Random Networks via the Fiedler Delta Statistic2013
Preprints, Working Papers, ...
hal-00922432v1
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Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs[Research Report] Inria. 2019
Reports
hal-02166433v1
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Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning[Research Report] INRIA Lille. 2017, pp.1-18
Reports
hal-01665410v1
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Decentralized Collaborative Learning of Personalized Models over Networks[Research Report] INRIA Lille. 2016
Reports
hal-01383544v1
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Hypernode Graphs for Learning from Binary Relations between Groups in Networks[Research Report] INRIA Lille. 2015
Reports
hal-01247103v1
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A Spectral Framework for a Class of Undirected Hypergraphs[Research Report] 2013
Reports
hal-00914286v2
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Series, Weighted Automata, Probabilistic Automata and Probability Distributions for Unranked Trees.[Research Report] RR-7200, INRIA. 2010, pp.23
Reports
inria-00455955v2
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Conditional Random Fields for XML Applications[Research Report] RR-6738, INRIA. 2008
Reports
inria-00342279v1
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Structures arborescentes et apprentissage automatiqueAutre [cs.OH]. Université Charles de Gaulle - Lille III, 2006
Habilitation à diriger des recherches
tel-00117063v1
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