Integration of short-distance radiological images, angiography and multimodal image fusion in a stereotaxic software environment for biopsy intervention. - Jamal Atif; Angel Osorio; Bertrand Devaux; François-Xavier Roux (CARS, 2004)

Percutaneous nephrolithotomies improvement using a new augmented reality system integrated into operating rooms. - Angel Osorio; Olivier Traxer; Jamal Atif; Xavier Ripoche; Mohamed Tligui; Bernard Gattegno (CARS, 2004)

Classification of radiological exams and organs by belief theory. - Antoine Tarault; Jamal Atif; Xavier Ripoche; Patrick Bourdot; Angel Osorio (AICCSA, 2005)

3D Brain Tumor Segmentation Using Fuzzy Classification and Deformable Models. - Hassan Khotanlou; Jamal Atif; Olivier Colliot; Isabelle Bloch (WILF, 2005)

Image Classification Using Marginalized Kernels for Graphs. - Emanuel Aldea; Jamal Atif; Isabelle Bloch (GbRPR, 2007)

Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation. - Geoffroy Fouquier; Jamal Atif; Isabelle Bloch (GbRPR, 2007)

From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. - Jamal Atif; Céline Hudelot; Geoffroy Fouquier; Isabelle Bloch; Elsa D. Angelini (IJCAI, 2007)

Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation. - Olivier Nempont; Jamal Atif; Elsa D. Angelini; Isabelle Bloch (IPMI, 2007)

Detection of Glioma Evolution on Longitudinal Mri Studies. - Elsa D. Angelini; Jamal Atif; Julie Delon; Emmanuel Mandonnet; Hugues Duffau; Laurent Capelle (ISBI, 2007)

Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information. - Jamal Atif; Céline Hudelot; Olivier Nempont; Nathalie Richard; Bénédicte Batrancourt; Elsa D. Angelini; Isabelle Bloch (ISBI, 2007)

Adaptive Segmentation of Internal Brain Structures in Pathological Mr Images Depending on Tumor Types. - Hassan Khotanlou; Jamal Atif; Elsa D. Angelini; Hugues Duffau; Isabelle Bloch (ISBI, 2007)

Kernel Fusion for Image Classification Using Fuzzy Structural Information. - Emanuel Aldea; Geoffroy Fouquier; Jamal Atif; Isabelle Bloch (ISVC (2), 2007)

A New Fuzzy Connectivity Class Application to Structural Recognition in Images. - Olivier Nempont; Jamal Atif; Enrico Angelini; Isabelle Bloch (DGCI, 2008)

Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs. - Geoffroy Fouquier; Jamal Atif; Isabelle Bloch (ECAI, 2008)

Structure segmentation and recognition in images guided by structural constraint propagation. - Olivier Nempont; Jamal Atif; Elsa D. Angelini; Isabelle Bloch (ECAI, 2008)

Integrated multimedia electronic patient record and graph-based image information for cerebral tumors. - John Puentes; Bénédicte Batrancourt; Jamal Atif; Elsa D. Angelini; Laurent Lecornu; Abdelhamid Zemirline; Isabelle Bloch; Gouenou Coatrieux; Christian Roux (Comput. Biol. Medicine, 2008)

Fuzzy spatial relation ontology for image interpretation. - Céline Hudelot; Jamal Atif; Isabelle Bloch (Fuzzy Sets Syst., 2008)

FSRO : une ontologie de relations spatiales floues pour l'interprétation d'images. - Céline Hudelot; Jamal Atif; Isabelle Bloch (Les Relations Spatiales, 2008)

Copula-set measures on topographic maps for change detection. - Jamal Atif; Jérôme Darbon (ICIP, 2009)

3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models. - Hassan Khotanlou; Olivier Colliot; Jamal Atif; Isabelle Bloch (Fuzzy Sets Syst., 2009)

A New Fuzzy Connectivity Measure for Fuzzy Sets. - Olivier Nempont; Jamal Atif; Elsa D. Angelini; Isabelle Bloch (J. Math. Imaging Vis., 2009)

Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning. - Céline Hudelot; Jamal Atif; Isabelle Bloch (ECAI, 2010)

Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation. - Jamal Atif; Céline Hudelot; Isabelle Bloch (CLA, 2011)

Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations. - Geoffroy Fouquier; Jamal Atif; Isabelle Bloch (Comput. Vis. Image Underst., 2012)

A fuzzy extension of explanatory relations based on mathematical morphology. - Jamal Atif; Isabelle Bloch; Felix Distel; Céline Hudelot (EUSFLAT Conf., 2013)

Distance to bipolar information from morphological dilation. - Isabelle Bloch; Jamal Atif (EUSFLAT Conf., 2013)

Multi-dimensional sparse structured signal approximation using split bregman iterations. - Yoann Isaac; Quentin Barthélemy; Jamal Atif; Cédric Gouy-Pailler; Michèle Sebag (ICASSP, 2013)

Mathematical Morphology Operators over Concept Lattices. - Jamal Atif; Isabelle Bloch; Felix Distel; Céline Hudelot (ICFCA, 2013)

Metrics for Multivariate Dictionaries - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (CoRR, 2013)

A constraint propagation approach to structural model based image segmentation and recognition. - Olivier Nempont; Jamal Atif; Isabelle Bloch (Inf. Sci., 2013)

Concept Dissimilarity Based on Tree Edit Distances and Morphological Dilations. - Felix Distel; Jamal Atif; Isabelle Bloch (ECAI, 2014)

ALC(𝔽): A New Description Logic for Spatial Reasoning in Images. - Céline Hudelot; Jamal Atif; Isabelle Bloch (ECCV Workshops (2), 2014)

On the need for metrics in dictionary learning assessment. - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (EUSIPCO, 2014)

Subspace metrics for multivariate dictionaries and application to EEG. - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (ICASSP, 2014)

Concept Dissimilarity with Triangle Inequality. - Felix Distel; Jamal Atif; Isabelle Bloch (KR, 2014)

Explanatory Reasoning for Image Understanding Using Formal Concept Analysis and Description Logics. - Jamal Atif; Céline Hudelot; Isabelle Bloch (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Fuzzy "Along" Spatial Relation in 3D. Application to Anatomical Structures in Maxillofacial CBCT. - Timothée Evain; Xavier Ripoche; Jamal Atif; Isabelle Bloch (ICIAP (1), 2015)

Hausdorff Distances Between Distributions Using Optimal Transport and Mathematical Morphology. - Isabelle Bloch; Jamal Atif (ISMM, 2015)

Abductive Reasoning Using Tableau Methods for High-Level Image Interpretation. - Yifan Yang; Jamal Atif; Isabelle Bloch (KI, 2015)

Belief revision in Institutions : A relaxation based approach. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

Relaxation-based revision operators in description logics. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (CoRR, 2015)

Deux approches pour la comparaison de relations spatiales floues. Transport optimal et morphologie mathématique. - Isabelle Bloch; Jamal Atif (Rev. d'Intelligence Artif., 2015)

Efficient Semantic Tableau Generation for Abduction in Propositional Logic. - Yifan Yang; Ricardo de Aldama; Jamal Atif; Isabelle Bloch (ECAI, 2016)

TripleSpin - a generic compact paradigm for fast machine learning computations. - Krzysztof Choromanski; Francois Fagan; Cédric Gouy-Pailler; Anne Morvan; Tamás Sarlós; Jamal Atif (CoRR, 2016)

Some Relationships Between Fuzzy Sets, Mathematical Morphology, Rough Sets, F-Transforms, and Formal Concept Analysis. - Jamal Atif; Isabelle Bloch; Céline Hudelot (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations. - Isabelle Bloch; Jamal Atif (Math. Morphol. Theory Appl., 2016)

Structured adaptive and random spinners for fast machine learning computations. - Mariusz Bojarski; Anna Choromanska; Krzysztof Choromanski; Francois Fagan; Cédric Gouy-Pailler; Anne Morvan; Nourhan Sakr; Tamás Sarlós; Jamal Atif (AISTATS, 2017)

Online Learning of Acyclic Conditional Preference Networks from Noisy Data. - Fabien Labernia; Bruno Zanuttini; Brice Mayag; Florian Yger; Jamal Atif (ICDM, 2017)

Semi-automatic teeth segmentation in Cone-Beam Computed Tomography by graph-cut with statistical shape priors. - Timothée Evain; Xavier Ripoche; Jamal Atif; Isabelle Bloch (ISBI, 2017)

Similarity and Contrast on Conceptual Spaces for Pertinent Description Generation. - Giovanni Sileno; Isabelle Bloch; Jamal Atif; Jean-Louis Dessalles (KI, 2017)

Graph sketching-based Massive Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2017)

Raisonnement abductif en logique de description exploitant les domaines concrets spatiaux pour l'interprétation d'images. - Yifan Yang; Jamal Atif; Isabelle Bloch (Rev. d'Intelligence Artif., 2017)

Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. - Yoann Isaac; Quentin Barthélemy; Cédric Gouy-Pailler; Michèle Sebag; Jamal Atif (Signal Process., 2017)

Computing Contrast on Conceptual Spaces. - Giovanni Sileno; Isabelle Bloch; Jamal Atif; Jean-Louis Dessalles (AIC, 2018)

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (ECCV Workshops (4), 2018)

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. - Anne Morvan; Antoine Souloumiac; Cédric Gouy-Pailler; Jamal Atif (ICASSP, 2018)

Musical Descriptions Based on Formal Concept Analysis and Mathematical Morphology. - Carlos Agón; Moreno Andreatta; Jamal Atif; Isabelle Bloch; Pierre Mascarade (ICCS, 2018)

Uplift Modeling from Separate Labels. - Ikko Yamane; Florian Yger; Jamal Atif; Masashi Sugiyama (NeurIPS, 2018)

Graph sketching-based Space-efficient Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (SDM, 2018)

Graph-based Clustering under Differential Privacy. - Rafael Pinot; Anne Morvan; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (UAI, 2018)

Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Céline Hudelot (Artif. Intell., 2018)

On the Needs for Rotations in Hypercubic Quantization Hashing. - Anne Morvan; Antoine Souloumiac; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2018)

A new approach to learning in Dynamic Bayesian Networks (DBNs). - Eric Benhamou; Jamal Atif; Rida Laraki; Anne Auger (CoRR, 2018)

A discrete version of CMA-ES. - Eric Benhamou; Jamal Atif; Rida Laraki; Anne Auger (CoRR, 2018)

Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction. - Marc Aiguier; Jamal Atif; Isabelle Bloch; Ramón Pino Pérez (Int. J. Approx. Reason., 2018)

Theoretical evidence for adversarial robustness through randomization. - Rafael Pinot; Laurent Meunier; Alexandre Araujo; Hisashi Kashima; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (NeurIPS, 2019)

On the Expressive Power of Deep Fully Circulant Neural Networks. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (CoRR, 2019)

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. - Rafael Pinot; Laurent Meunier; Alexandre Araujo; Hisashi Kashima; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2019)

Robust Neural Networks using Randomized Adversarial Training. - Alexandre Araujo; Rafael Pinot; Benjamin Négrevergne; Laurent Meunier; Yann Chevaleyre; Florian Yger; Jamal Atif (CoRR, 2019)

NGO-GM: Natural Gradient Optimization for Graphical Models. - Eric Benhamou; Jamal Atif; Rida Laraki; David Saltiel (CoRR, 2019)

A unified view on differential privacy and robustness to adversarial examples. - Rafael Pinot; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2019)

Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. - Laurent Meunier; Jamal Atif; Olivier Teytaud (CoRR, 2019)

Understanding and Training Deep Diagonal Circulant Neural Networks. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (ECAI, 2020)

Estimating Individual Treatment Effects through Causal Populations Identification. - Céline Beji; Eric Benhamou; Michaël Bon; Florian Yger; Jamal Atif (ESANN, 2020)

Randomization matters How to defend against strong adversarial attacks. - Rafael Pinot; Raphael Ettedgui; Geovani Rizk; Yann Chevaleyre; Jamal Atif (ICML, 2020)

Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning. - Eric Benhamou; David Saltiel; Jean-Jacques Ohana; Jamal Atif (ICPR, 2020)

Deep Reinforcement Learning (DRL) for Portfolio Allocation. - Eric Benhamou; David Saltiel; Jean-Jacques Ohana; Jamal Atif; Rida Laraki (ECML/PKDD (5), 2020)

Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA). - David Saltiel; Eric Benhamou; Rida Laraki; Jamal Atif (MIDAS@PKDD/ECML, 2020)

Estimating Individual Treatment Effects through Causal Populations Identification. - Céline Beji; Michaël Bon; Florian Yger; Jamal Atif (CoRR, 2020)

Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation. - Meyer Scetbon; Laurent Meunier; Jamal Atif; Marco Cuturi (CoRR, 2020)

Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (CoRR, 2020)

AAMDRL: Augmented Asset Management with Deep Reinforcement Learning. - Eric Benhamou; David Saltiel; Sandrine Ungari; Abhishek Mukhopadhyay; Jamal Atif (CoRR, 2020)

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. - Alexandre Araujo; Benjamin Négrevergne; Yann Chevaleyre; Jamal Atif (AAAI, 2021)

Equitable and Optimal Transport with Multiple Agents. - Meyer Scetbon; Laurent Meunier; Jamal Atif; Marco Cuturi (AISTATS, 2021)

Mixed Nash Equilibria in the Adversarial Examples Game. - Laurent Meunier; Meyer Scetbon; Rafael Pinot; Jamal Atif; Yann Chevaleyre (ICML, 2021)

Online Selection of Diverse Committees. - Virginie Do; Jamal Atif; Jérôme Lang; Nicolas Usunier (IJCAI, 2021)

Two-sided fairness in rankings via Lorenz dominance. - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (NeurIPS, 2021)

Non parametric estimation of causal populations in a counterfactual scenario. - Céline Beji; Florian Yger; Jamal Atif (CoRR, 2021)

Online Certification of Preference-Based Fairness for Personalized Recommender Systems. - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (AAAI, 2022)

Towards Consistency in Adversarial Classification. - Laurent Meunier; Raphael Ettedgui; Rafael Pinot; Yann Chevaleyre; Jamal Atif (NeurIPS, 2022)

Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. - Raphael Ettedgui; Alexandre Araujo; Rafael Pinot; Yann Chevaleyre; Jamal Atif (CoRR, 2022)

On the robustness of randomized classifiers to adversarial examples. - Rafael Pinot; Laurent Meunier; Florian Yger; Cédric Gouy-Pailler; Yann Chevaleyre; Jamal Atif (Mach. Learn., 2022)

Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (IJCAI, 2023)

FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation. - Raphael Krief; Eric Benhamou; Beatrice Guez; Jean-Jacques Ohana; David Saltiel; Rida Laraki; Jamal Atif (LIDTA, 2023)

Comparing Deep RL and Traditional Financial Portfolio Methods. - Eric Benhamou; Jean-Jacques Ohana; Beatrice Guez; David Saltiel; Rida Laraki; Jamal Atif (PKDD/ECML Workshops (5), 2023)

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. - Ilana Sebag; Muni Sreenivas Pydi; Jean-Yves Franceschi; Alain Rakotomamonjy; Mike Gartrell; Jamal Atif; Alexandre Allauzen (CoRR, 2023)

Optimal Classification under Performative Distribution Shift. - Edwige Cyffers; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (NeurIPS, 2024)

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance. - Ilana Sebag; Muni Sreenivas Pydi; Jean-Yves Franceschi; Alain Rakotomamonjy; Mike Gartrell; Jamal Atif; Alexandre Allauzen (Trans. Mach. Learn. Res., 2025)

Memorization in Fine-Tuned Large Language Models. - Danil Savine; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (CoRR, 2025)