Curriculum vitae

Atif Jamal

Professeur des universités

jamal.atifping @

Dernières publications

BU Paris-Dauphine


Aiguier M., Atif J., Bloch I., Pino Pérez R. (2018), Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction, International Journal of Approximate Reasoning, vol. 102, p. 1-20

Aiguier M., Atif J., Bloch I., Hudelot C. (2018), Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics, Artificial Intelligence, vol. 256, p. 160-180

Labernia F., Yger F., Mayag B., Atif J. (2018), Query-based learning of acyclic conditional preference networks from contradictory preferences, EURO Journal on Decision Processes, vol. 6, n°1-2, p. 39-59

Isaac Y., Barthélemy Q., Gouy-Pailler C., Sebag M., Atif J. (2017), Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations, Signal Processing, vol. 130, p. 389-402

Bloch I., Atif J. (2016), Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations, Mathematical Morphology: Theory and Applications, vol. 1, n°1, p. 79-99

Atif J., Bloch I., Hudelot C. (2016), Some relationships between fuzzy sets, mathematical morphology, rough sets, F-transforms, and formal concept analysis, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 24, n°S2, p. 1-32

Bloch I., Atif J. (2015), Deux approches pour la comparaison de relations spatiales floues : transport optimal et morphologie mathématique, Revue d'Intelligence Artificielle, vol. 29, n°5, p. 595-619

Linguet L., Atif J. (2015), Estimating surface solar irradiance from goes satellite with particle filter model and joint probability distribution, Canadian Journal of Remote Sensing, vol. 41, n°2, p. 71-85

Chapitres d'ouvrage

Linguet L., Atif J. (2016), A Markov Chain Monte Carlo-based Particle Filter Approach for Spatiotemporal Modelling of an Environmental Process, in N. Janardhana Raju, Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies Springer, p. 617-621

Communications avec actes

Pinot R., Morvan A., Yger F., Gouy-Pailler C., Atif J. (2018), Graph-based Clustering under Differential Privacy, in Amir Globerson; Ricardo Silva, Uncertainty in Artificial Intelligence (UAI) - Proceedings of the Thirty-Fourth Conference (2018), August 6-10, 2018, Monterey, California, USA, AUAI Press, 329-338 p.

Araújo A., Negrevergne B., Chevaleyre Y., Atif J. (2018), Training Compact Deep Learning Models for Video Classification Using Circulant Matrices, in Leal-Taixé Laura; Roth Stefan, Computer Vision – ECCV 2018 Workshops Munich, Germany, September 8-14, 2018, Proceedings, Part IV, Berlin Heidelberg, Springer, 271-286 p.

Yamane I., Yger F., Atif J., Sugiyama M. (2018), Uplift Modeling from Separate Labels, in S. Bengio; H. Wallach; H. Larochelle; K. Grauman; N. Cesa-Bianchi; R. Garnett, Advances in Neural Information Processing Systems 31 (NIPS 2018), Neural Information Processing Systems Foundation, Inc., 9927--9937 p.

Labernia F., Zanuttini B., Mayag B., Yger F., Atif J. (2017), Online learning of acyclic conditional preference networks from noisy data, in George Karypis, Lucio Miele, Proceedings of the IEEE International Conference on Data Mining (ICDM 2017), Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers

Evain T., Ripoche X., Atif J., Bloch I. (2017), Semi-automatic teeth segmentation in cone-beam computed tomography by graph-cut with statistical shape priors, in Olivier Salvado, Gary Egan, 14th IEEE International Symposium on Biomedical Imaging (ISBI), New York, IEEE - Institute of Electrical and Electronics Engineers, 1197-1200 p.

Bojarski M., Choromanska A., Choromanski K., Fagan F., Gouy-Pailler C., Morvan A., Sakr N., Sarlos T., Atif J. (2017), Structured adaptive and random spinners for fast machine learning computations, in Aarti Singh, Jerry Zhu, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), volume 54, JMLR: Workshop and Conference Proceedings, 1020-1029 p.

Yang Y., De Aldama R., Atif J., Bloch I. (2016), Efficient Semantic Tableau Generation for Abduction in Propositional Logic, in Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen, ECAI 16, IOS Press, 1756-1757 p.

Labernia F., Yger F., Mayag B., Atif J. (2016), Query-based learning of acyclic conditional preference networks from noisy data, in Róbert Busa-Fekete, Eyke Hüllermeier, Vincent Mousseau, Karlson Pfannschmidt, From Multiple Criteria Decision Aid to Preference Learning : Proceedings of the DA2PL'2016 EURO Mini Conference, Paderborn, Paderborn University, 6 p.

Evain T., Ripoche X., Atif J., Bloch I. (2015), Fuzzy along spatial relation in 3D. Application to anatomical structures in maxillofacial CBCT, in Vittorio Murino, Enrico Puppo, 18th International Conference on Image Analysis and Processing (ICIAP), Springer, 271-281 p.

Yang Y., Atif J., Bloch I. (2015), Abductive reasoning using tableau methods for high-level image interpretation, in Steffen Hölldobler, Markus Krötzsch, Rafael Peñaloza, Sebastian Rudolph, KI 2015: Advances in Artificial Intelligence: 38th Annual German Conference on AI, Berlin Heidelberg, Springer, 356-365 p.

Bloch I., Atif J. (2015), Hausdorff distances between distributions using optimal transport and mathematical morphology, in Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot, 12th International Symposium on Mathematical Morphology, Springer, 522-534 p.

Prépublications / Cahiers de recherche

Benhamou É., Atif J., Laraki R. (2019), A short note on the operator norm upper bound for sub-Gaussian tailed random matrices, Paris, Preprint Lamsade, 12 p.

Benhamou É., Atif J., Laraki R. (2018), A discrete version of CMA-ES, Paris, Preprint Lamsade, 13 p.

Benhamou É., Atif J., Laraki R., Laraki R. (2018), A new approach to learning in Dynamic Bayesian Networks (DBNs), Paris, Preprint Lamsade, 17 p.

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