Mathieu Serrurier
72
Documents
Publications
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Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks40th International Conference on Machine Learning, Jul 2023, Honolulu, Hawaii, United States. pp.2245-2271, ⟨10.5555/3618408.3618504⟩
Communication dans un congrès
hal-03977272v2
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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport PerspectiveConference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, Dec 2023, New Orleans (Louisiana), United States
Communication dans un congrès
hal-03693355v3
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Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networksAdvances in Neural Information Processing Systems, Nov 2022, New Orleans, United States. ⟨10.48550/arXiv.2104.05097⟩
Communication dans un congrès
hal-03872080v1
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Achieving robustness in classification using optimal transport with hinge regularizationConference on Computer Vision and Pattern Recognition, Jun 2021, Virtuel, Canada. ⟨10.1109/CVPR46437.2021.00057⟩
Communication dans un congrès
hal-03033400v1
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Learning Disentangled Representations via Mutual Information Estimation16th European Conference on Computer Vision - ECCV 2020, Aug 2020, online, France. pp.205-221, ⟨10.1007/978-3-030-58542-6_13⟩
Communication dans un congrès
hal-02397803v1
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Analogical Classifiers: A Theoretical PerspectiveEuropean Conference on Artificial Intelligence (ECAI 2016), Aug 2016, La Hague, France. pp. 689-697
Communication dans un congrès
hal-01782594v1
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Analogy in recommendation. Numerical vs. ordinal: A discussionIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016) in IEEE World Congress on Computational Intelligence - WCCI 2016, Jul 2016, Vancouver, Canada. pp. 2220-2226
Communication dans un congrès
hal-01787372v1
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Social Specialization of Space: Clustering Households on the French RivieraGenetic and Evolutionary Computation Conference, Jul 2015, Madrid, Spain. ⟨10.1145/2739482.2764665⟩
Communication dans un congrès
hal-01344327v1
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Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees32nd International Conference on Machine Learning (ICML 2015), Jul 2015, Lille, France. pp. 1576-1584
Communication dans un congrès
hal-01809356v1
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A scalable learning algorithm for Kernel Probabilistic Classifier7th International Conference on Scalable Uncertainty Management (SUM), Sep 2013, Washington, DC, United States. pp. 297-310
Communication dans un congrès
hal-01171944v1
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Mining aeronautical data by using visualized driven rules extraction approachISIATM 2013, 2nd International Conference on Interdisciplinary Science for Innovative Air Traffic Management, Jul 2013, Toulouse, France
Communication dans un congrès
hal-00867875v1
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Visualization of Frequent Itemsets with Nested Circular Layout and Bundling AlgorithmInternational Symposium on Visual Computing - ISVC 2013, Jul 2013, Rethymnon, Greece. pp.396-405, ⟨10.1007/978-3-642-41939-3_38⟩
Communication dans un congrès
hal-01141434v1
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From Visualization to Association Rules : an automatic approachSCCG 2013, Spring Conference on Computer Graphics, ACM, May 2013, Smolenice, Slovakia. pp 57-64, ⟨10.1145/2508244.2508252⟩
Communication dans un congrès
hal-01078330v1
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Statistical prediction of aircraft trajectory : regression methods vs point-mass modelATM 2013, 10th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2013, Chicago, United States. pp xxxx
Communication dans un congrès
hal-00911709v1
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Simultaneous interval regression for K-nearest neighborAI 2012, 25th Australasian Joint Conference on Artificial Intelligence, Dec 2012, Sydney, Australia. pp 602-613, ⟨10.1007/978-3-642-35101-3_51⟩
Communication dans un congrès
hal-00938894v1
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Representing uncertainty by possibility distributions encoding confidence bands, tolerance and prediction intervalsSUM 2012, 6th International Conference on Scalable Uncertainty Management, Sep 2012, Marburg, Germany. pp 233-246, ⟨10.1007/978-3-642-33362-0_18⟩
Communication dans un congrès
hal-00938794v1
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Classification Based on Possibilistic Likelihood14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012), Jul 2012, Catania, Italy. pp.420--429
Communication dans un congrès
hal-03346982v1
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A Possibilistic Rule-Based Classifier14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012), Jul 2012, Catania, Italy. pp.21--31, ⟨10.1007/978-3-642-31709-5_3⟩
Communication dans un congrès
hal-03346981v1
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Possibilistic KNN regression using tolerance intervalsIPMU 2012, 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2012, Catania, Italy. pp 410-419, ⟨10.1007/978-3-642-31718-7_43⟩
Communication dans un congrès
hal-00938763v1
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Utilisation d'outils de Visual Data Mining pour l'exploration d'un ensemble de règles d'associationIHM 2011, 23ème Conférence Francophone sur l'Interaction Homme-Machine, Oct 2011, Nice, France. pp.Article N° 12, ⟨10.1145/2044354.2044369⟩
Communication dans un congrès
hal-01022276v1
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Ground-based prediction of aircraft climb : point-mass model vs regression methodsComplex World 2011, 1st Annual Complex World Conference, Jul 2011, Seville, Spain. pp xxxx
Communication dans un congrès
hal-00940961v1
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Imprecise Regression Based on Possibilistic Likelihood5th International Conference on Scalable Uncertainty Management (SUM 2011), Oct 2011, Dayton, OH, United States. pp.447-459, ⟨10.1007/978-3-642-23963-2_35⟩
Communication dans un congrès
hal-03351565v1
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Building possibility distribution based on confidence intervals of parameters of Gaussian mixturesSUM 2011, 5th International Conference on Scalable Uncertainty Management, Oct 2011, Dayton, United States
Communication dans un congrès
hal-00934773v1
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Possibilistic Classifiers for Uncertain Numerical Data11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2011), Jun 2011, Belfast, Ireland. pp.434-446, ⟨10.1007/978-3-642-22152-1_37⟩
Communication dans un congrès
hal-03351549v1
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Maximum-likelihood principle for possibility distributions viewed as families of probabilitiesIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Jun 2011, Taipei, Taiwan. pp.2987--2993, ⟨10.1109/FUZZY.2011.6007527⟩
Communication dans un congrès
hal-03351553v1
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An automatic generation of metro-like maps to display flight routes for air traffic controllers: structure and color optimizationAVI 2010, International Working Conference on Advanced Visual Interfaces, May 2010, Roma, Italy. pp 233-240, ⟨10.1145/1842993.1843034⟩
Communication dans un congrès
hal-01022249v1
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Why Imprecise regression: a discussion5th International Conference on Soft Methods in Probability and Statistics (SMPS 2010), Sep 2010, Oviedo and Mieres, Asturias, Spain. pp.527-535, ⟨10.1007/978-3-642-14746-3_65⟩
Communication dans un congrès
hal-03349430v1
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From Bayesian classifiers to possibilistic classifiers for numerical data4th International Conference on Scalable Uncertainty Management (SUM 2010), Sep 2010, Toulouse, France. pp.112-125, ⟨10.1007/978-3-642-15951-0_15⟩
Communication dans un congrès
hal-03349427v1
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Increasing Air Traffic Control simulations realism through voice transformationAudioMostly 2009, Conference on Interaction with Sound, Sep 2009, Glasgow, United Kingdom
Communication dans un congrès
hal-01166944v1
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Elicitating Sugeno Integrals: Methodology and a Case Study10th European Conference Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2009), Jul 2009, Verona, Italy. pp.712-723, ⟨10.1007/978-3-642-02906-6_61⟩
Communication dans un congrès
hal-00533477v1
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Génération et placement de couleurs sur une vue de type métroIHM 2009, 21ème Conférence Francophone sur l'Interaction Homme-Machine, Oct 2009, Grenoble, France. pp 55-58, ⟨10.1145/1629826.1629835⟩
Communication dans un congrès
hal-01022164v1
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Elicitation of Sugeno integrals : A version space learning perspectiveProc. 18th Int. Symp. on Methodologies for Intelligent Systems, ISMIS'09, Sep 2009, Prague, Czech Republic, Czech Republic. pp.392-401, ⟨10.1007/978-3-642-04125-9_42⟩
Communication dans un congrès
hal-01437752v1
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Making regression imprecise for providing a better representation of precise dataSecond workshop of the ERCIM working group on Computing ans Statistics (ERCIM 2009), Oct 2009, Limassol, Cyprus
Communication dans un congrès
hal-03353613v1
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Arguing and explaining classifications4th International Workshop on Argumentation in Multi-Agent Systems (ArgMAS 2007), May 2007, Honolulu, HI, United States. pp.164--177, ⟨10.1007/978-3-540-78915-4_11⟩
Communication dans un congrès
hal-04313460v1
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A general framework for imprecise regressionIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), Jul 2007, London, United Kingdom. pp.1597--1602, ⟨10.1109/FUZZY.2007.4295605⟩
Communication dans un congrès
hal-03358862v1
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Imprecise regression and regression on fuzzy data A preliminary discussion2006 IEEE International Conference on Fuzzy Systems, Jul 2006, Vancouver, Canada. ⟨10.1109/FUZZY.2006.1681908⟩
Communication dans un congrès
hal-03364221v1
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An Argumentation Framework for Concept LearningInternational Workshop on Non-Monotonic Reasoning (NMR 2006 @ KR 2006), Clausthal University of Technology, May 2006, Lake District, United Kingdom
Communication dans un congrès
hal-04315684v1
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Super increasing sequences and learning of default rules11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006), Jul 2006, Paris, France
Communication dans un congrès
hal-03364213v1
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Gérer les exceptions en programmation logique inductive multiclasse avec la logique possibiliste15ème Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006), Jan 2006, Tours, France. pp.(en ligne)
Communication dans un congrès
hal-03364211v1
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Version Space Learning for Possibilistic Hypotheses17th European Conference on Artificial Intelligence (ECAI 2006), European Coordinating Committee for Artificial Intelligence (ECCAI); Italian Association of Artificial Intelligence, Aug 2006, Riva del Garda, Italy. pp.801-802
Communication dans un congrès
hal-03361589v1
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Possibilistic inductive logic programming8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2005), Jul 2005, Barcelone, Spain. pp.675-686
Communication dans un congrès
hal-03367398v1
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Fuzzy inductive logic programming: learning fuzzy rules with their implication14th IEEE International Conference on Fuzzy Systems, May 2005, Reno, Nevada, United States. pp.613-618, ⟨10.1109/FUZZY.2005.1452464⟩
Communication dans un congrès
hal-03367394v1
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Enrichir la programmation logique inductive avec des prédicats flous14ème Congrés Francophone AFRIF-AFIA de Reconnaissance des Formes et d'Intelligence Artificielle (RFIA 2004), Association française pour la reconnaissance et l'interprétation des formes; Association française pour l'intelligence artificielle, Jan 2004, Toulouse, France. pp.319-327
Communication dans un congrès
hal-03369700v1
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Getting adaptability or expressivity in inductive logic programming by using fuzzy predicatesIEEE International Conference on Fuzzy Systems 2004, Jul 2004, Budapest, Hungary. pp.73-77, ⟨10.1109/FUZZY.2004.1375691⟩
Communication dans un congrès
hal-03370920v1
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A simulated annealing framework for ILP14th International Conference on Inductive Logic Programming (ILP 2004), 2004, Porto, Portugal. pp.288-304, ⟨10.1007/978-3-540-30109-7_22⟩
Communication dans un congrès
hal-03370917v1
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Learning first order fuzzy rules with their implication operator10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Jul 2004, Perugia, Italy
Communication dans un congrès
hal-03370918v1
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Les avantages de la discrétisation floue dans l'apprentissage de règlesConférence sur l'Apprentissage Automatique (CAP 2004), LIRMM: Laboratoire d'informatique, de robotique et de microélectronique de Montpellier, Jun 2004, Montpellier, France
Communication dans un congrès
hal-03369711v1
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Learning first order fuzzy logic rules10th International Fuzzy Systems Association World Congress (IFSA 2003), Jun 2003, Istanbul, Turkey. pp.702--709, ⟨10.1007/3-540-44967-1_84⟩
Communication dans un congrès
hal-03373369v1
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Using simulated annealing in ILP13th International Conference on Inductive Logic Programming (ILP 2003), Sep 2003, Szeged, Hungary
Communication dans un congrès
hal-03375238v1
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Apprentissage du type de règle floue le plus pertinentRencontres Francophones sur la Logique Floue et ses Applications (LFA 2003), Nov 2003, Tours, France. pp.81-88
Communication dans un congrès
hal-03375240v1
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On the induction of different kinds of first-order fuzzy rules7th European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU 2003), Jul 2003, Aalborg, Denmark. pp.370-381, ⟨10.1007/978-3-540-45062-7_30⟩
Communication dans un congrès
hal-03373364v1
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Enriching relational learning with fuzzy predicates7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2003), 2003, Cavtat-Dubrovnik, Croatia. pp.399-410, ⟨10.1007/978-3-540-39804-2_36⟩
Communication dans un congrès
hal-03373379v1
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Stratified induction in possibilistic logic9ème Conférence Internationale sur le traitement d'information et gestion d'incertitudes dans les systèmes à base de connaissances (IPMU 2002), Jun 2002, Annecy, France. pp.617-623
Communication dans un congrès
hal-03377606v1
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Coping with exceptions in multiclass ILP problems using possibilistic logic (Poster paper)Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 2005), Jul 2005, Edinburgh, Scotland, United Kingdom. Gallus, IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005, pp.1761-1762, 2005
Poster de conférence
hal-03367405v1
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Mutual Information Measure for Image Segmentation Using Few Labels2023
Pré-publication, Document de travail
hal-02892004v1
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DP-SGD Without Clipping: The Lipschitz Neural Network Way2023
Pré-publication, Document de travail
hal-04130913v1
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DPWTE: A Deep Learning Approach to Time-to-Event Analysis using a Sparse Weibull Mixture Layer2021
Pré-publication, Document de travail
hal-03263989v1
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A Hölderian backtracking method for min-max and min-min problems2020
Pré-publication, Document de travail
hal-02900875v1
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Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysis2020
Pré-publication, Document de travail
hal-02483979v1
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From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)2019
Pré-publication, Document de travail
hal-03253808v1
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Learning Disentangled Representations of Satellite Image Time Series2019
Pré-publication, Document de travail
hal-02046537v1
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Report on CIMI Thematic Trimester: Machine Learning[Rapport de recherche] IRIT : Institut de Recherche en Informatique de Toulouse. 2016
Rapport
hal-03155046v1
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