Mathieu Serrurier

According to our database, Mathieu Serrurier authored at least 64 papers between 2002 and 2023.

Collaborative distances:

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

2023

DP-SGD Without Clipping: The Lipschitz Neural Network Way.

Louis Béthune, Thomas Massena, Thibaut Boissin, Yannick Prudent, Corentin Friedrich, Franck Mamalet, Aurélien Bellet, Mathieu Serrurier, David Vigouroux

CoRR, 2023

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective.

Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks.

Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis

Proceedings of the International Conference on Machine Learning, 2023

2022

When adversarial attacks become interpretable counterfactual explanations.

Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

CoRR, 2022

Precipitaion Nowcasting using Deep Neural Network.

Mohamed Chafik Bakkay, Mathieu Serrurier, Valentin Kivachuk Burda, Florian Dupuy, Naty Citlali Cabrera-Gutierrez, Michael Zamo, Maud-Alix Mader, Olivier Mestre, Guillaume Oller, Jean-Christophe Jouhaud, Laurent Terray

CoRR, 2022

Pay attention to your loss : understanding misconceptions about Lipschitz neural networks.

Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz

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

2021

The Many Faces of 1-Lipschitz Neural Networks.

Louis Béthune, Alberto González-Sanz, Franck Mamalet, Mathieu Serrurier

CoRR, 2021

DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions.

Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization.

Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Dyslexia from Audio Records: An AI Approach.

Jim Radford, Gilles Richard, Hugo Richard, Mathieu Serrurier

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

A Hölderian backtracking method for min-max and min-min problems.

Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier

CoRR, 2020

Dyslexia and Dysgraphia prediction: A new machine learning approach.

Gilles Richard, Mathieu Serrurier

CoRR, 2020

Mutual Information Measure for Image Segmentation Using Few Labels.

Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis.

Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Learning Disentangled Representations via Mutual Information Estimation.

Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Analogical proportion-based methods for recommendation - First investigations.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Fuzzy Sets Syst., 2019

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).

Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain

CoRR, 2019

Learning Disentangled Representations of Satellite Image Time Series.

Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2016

Analogy in recommendation. Numerical vs. ordinal: A discussion.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Analogical Classifiers: A Theoretical Perspective.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees.

Mathieu Serrurier, Henri Prade

Proceedings of the 32nd International Conference on Machine Learning, 2015

Social Specialization of Space: Clustering Households on the French Riviera.

Denis Pallez, Mathieu Serrurier, Célia da Costa Pereira, Giovanni Fusco, Cristina Cao

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Naive possibilistic classifiers for imprecise or uncertain numerical data.

Myriam Bounhas, Mohammad Ghasemi Hamed, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Fuzzy Sets Syst., 2014

Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy.

Mathieu Serrurier, Henri Prade

Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

2013

Possibilistic classifiers for numerical data.

Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier

Soft Comput., 2013

An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data.

Mathieu Serrurier, Henri Prade

Int. J. Approx. Reason., 2013

A Scalable Learning Algorithm for Kernel Probabilistic Classifier.

Mathieu Serrurier, Henri Prade

Proceedings of the Scalable Uncertainty Management - 7th International Conference, 2013

From Visualization to Association Rules: an automatic approach.

Gwenael Bothorel, Mathieu Serrurier, Christophe Hurter

Proceedings of the Spring Conference on Computer Graphics, 2013

Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm.

Gwenael Bothorel, Mathieu Serrurier, Christophe Hurter

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

2012

Representing Uncertainty by Possibility Distributions Encoding Confidence Bands, Tolerance and Prediction Intervals.

Mohammad Ghasemi Hamed, Mathieu Serrurier, Nicolas Durand

Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Classification Based on Possibilistic Likelihood.

Mathieu Serrurier, Henri Prade

Proceedings of the Advances in Computational Intelligence, 2012

Possibilistic KNN Regression Using Tolerance Intervals.

Mohammad Ghasemi Hamed, Mathieu Serrurier, Nicolas Durand

Proceedings of the Advances in Computational Intelligence, 2012

A Possibilistic Rule-Based Classifier.

Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Proceedings of the Advances on Computational Intelligence, 2012

Simultaneous Interval Regression for K-Nearest Neighbor.

Mohammad Ghasemi Hamed, Mathieu Serrurier, Nicolas Durand

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Imprecise Regression Based on Possibilistic Likelihood.

Mathieu Serrurier, Henri Prade

Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

Utilisation d'outils de visual data mining pour l'exploration d'un ensemble de règles d'association.

Gwenael Bothorel, Mathieu Serrurier, Christophe Hurter

Proceedings of the 23th French speaking Conference on Human-Computer Interaction, 2011

Maximum-likelihood principle for possibility distributions viewed as families of probabilities.

Mathieu Serrurier, Henri Prade

Proceedings of the FUZZ-IEEE 2011, 2011

Possibilistic Classifiers for Uncertain Numerical Data.

Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data.

Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier

Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

Why Imprecise Regression: A Discussion.

Henri Prade, Mathieu Serrurier

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

An automatic generation of schematic maps to display flight routes for air traffic controllers: structure and color optimization.

Christophe Hurter, Mathieu Serrurier, Roland Alonso, Gilles Tabart, Jean-Luc Vinot

Proceedings of the International Conference on Advanced Visual Interfaces, 2010

2009

Elicitation of Sugeno Integrals: A Version Space Learning Perspective.

Henri Prade, Agnès Rico, Mathieu Serrurier

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Génération et placement de couleurs sur une vue de type métro.

Christophe Hurter, Mathieu Serrurier, Gilles Tabart, Jean-Luc Vinot

Proceedings of the 21st International Conference of the Association Francophone d'Interaction Homme-Machine, 2009

Elicitating Sugeno Integrals: Methodology and a Case Study.

Henri Prade, Agnès Rico, Mathieu Serrurier, Eric Raufaste

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Improving inductive logic programming by using simulated annealing.

Mathieu Serrurier, Henri Prade

Inf. Sci., 2008

Bipolar version space learning.

Henri Prade, Mathieu Serrurier

Int. J. Intell. Syst., 2008

Agents that argue and explain classifications.

Leila Amgoud, Mathieu Serrurier

Auton. Agents Multi Agent Syst., 2008

2007

Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules.

Mathieu Serrurier, Henri Prade

Soft Comput., 2007

Learning fuzzy rules with their implication operators.

Mathieu Serrurier, Didier Dubois, Henri Prade, Thomas A. Sudkamp

Data Knowl. Eng., 2007

Introducing possibilistic logic in ILP for dealing with exceptions.

Mathieu Serrurier, Henri Prade

Artif. Intell., 2007

Loi de fitts: prédiction du temps de pointage sous forme d'ensembles flous.

Mathieu Raynal, Mathieu Serrurier

Proceedings of the 19th Conference on l'Interaction Homme-Machine, 2007

A General Framework for Imprecise Regression.

Mathieu Serrurier, Henri Prade

Proceedings of the FUZZ-IEEE 2007, 2007

Arguing and Explaining Classifications.

Leila Amgoud, Mathieu Serrurier

Proceedings of the Argumentation in Multi-Agent Systems, 4th International Workshop, 2007

2006

Imprecise Regression and Regression on Fuzzy Data - A Preliminary Discussion.

Mathieu Serrurier, Henri Prade

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Version Space Learning for Possibilistic Hypotheses.

Henri Prade, Mathieu Serrurier

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Coping with exceptions in multiclass ILP problems using possibilistic logic.

Mathieu Serrurier, Henri Prade

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication.

Mathieu Serrurier, Thomas A. Sudkamp, Didier Dubois, Henri Prade

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Possibilistic Inductive Logic Programming.

Mathieu Serrurier, Henri Prade

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

A Simulated Annealing Framework for ILP.

Mathieu Serrurier, Henri Prade, Gilles Richard

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Getting adaptability or expressivity in inductive logic programming by using fuzzy predicates.

Henri Prade, Mathieu Serrurier

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Enriching Relational Learning with Fuzzy Predicates.

Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Learning First Order Fuzzy Logic Rules.

Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

On the Induction of Different Kinds of First-Order Fuzzy Rules.

Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002

CYNTHIA: An HTML Browser for Visually Handicapped People.

Mathieu Raynal, Mathieu Serrurier

Proceedings of the Computers Helping People with Special Needs, 2002