
Rémi Emonet
87
Documents
Publications
Publications
|
Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs2024 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2024), Sep 2024, Vilnius, Lithuania
Communication dans un congrès
hal-04518335
v1
|
|
Historical Printed Ornaments: Dataset and TasksICDAR 2024 - International Conference on Document Analysis and Recognition, Aug 2024, Athens, Greece. pp.251-270, ⟨10.1007/978-3-031-70543-4_15⟩
Communication dans un congrès
hal-04720711
v1
|
|
Physics-informed Machine Learning for Better Understanding Laser-Matter InteractionThe 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2024), IEEE, Oct 2024, Herndon, VA, United States. pp.7
Communication dans un congrès
hal-04717837
v1
|
|
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresAISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain
Communication dans un congrès
hal-04473777
v1
|
|
Deciphering the complexity behind laser-induced selforganized nanopatterns17th International Conference on Laser Ablation (COLA 2024), Sep 2024, Hersonissos, Greece
Communication dans un congrès
ujm-04881596
v1
|
|
Length Independent PAC-Bayes Bounds for Simple RNNsAISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valence, Spain
Communication dans un congrès
hal-04488664
v1
|
|
Fair Text Classification with Wasserstein Independence2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore. pp.15790-15803, ⟨10.18653/v1/2023.emnlp-main.978⟩
Communication dans un congrès
hal-04390768
v1
|
|
Is My Neural Net Driven by the MDL Principle?European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2023, Turin, France. pp.173-189, ⟨10.1007/978-3-031-43415-0_11⟩
Communication dans un congrès
hal-04231405
v1
|
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundCAp 2022, Jul 2022, Vannes, France
Communication dans un congrès
hal-03703804
v1
|
|
|
Stochasticity versus determinism in LIPSS formation10th International Workshop LIPSS, Sep 2022, Orléans, France
Communication dans un congrès
ujm-03823762
v1
|
Optimisation muliticritère de couleurs plasmoniques pour les documents d'identitéNanoApp 2022 - Colloque « Apparence visuelle de milieux nanostructurés », Kevin Vynck, Nov 2022, Villeurbanne, France
Communication dans un congrès
hal-04889427
v1
|
|
|
Optimal Tensor TransportAAAI, Feb 2022, Vancouver, Canada. ⟨10.1609/aaai.v36i7.20672⟩
Communication dans un congrès
hal-03479241
v1
|
Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexitéCAp 2022, Jul 2022, Vannes, France
Communication dans un congrès
hal-03703811
v1
|
|
|
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundNeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩
Communication dans un congrès
hal-03278470
v1
|
|
A Swiss Army Knife for Minimax Optimal TransportThirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria
Communication dans un congrès
hal-02900712
v1
|
|
Metric Learning in Optimal Transport for Domain AdaptationInternational Joint Conference on Artificial Intelligence, Jan 2020, Kyoto, Japan. pp.2162-2168, ⟨10.24963/ijcai.2020/299⟩
Communication dans un congrès
ujm-02611800
v3
|
|
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced DataIJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. pp.2155-2161, ⟨10.24963/ijcai.2020/298⟩
Communication dans un congrès
hal-02611586
v1
|
MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibréesConférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France
Communication dans un congrès
hal-02868502
v1
|
|
|
Adversarial regularization for explainable-by-design time series classificationICTAI 2020 - 32th International Conference on Tools with Artificial Intelligence, Nov 2020, online, Greece. pp.1-9, ⟨10.1109/ICTAI50040.2020.00165⟩
Communication dans un congrès
hal-03025671
v1
|
|
Fast and Provably Effective Multi-view Classification with Landmark-based SVMECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.193-208, ⟨10.1007/978-3-030-10928-8_12⟩
Communication dans un congrès
hal-01863895
v1
|
|
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced DataInternational Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00042⟩
Communication dans un congrès
hal-02318868
v1
|
|
From Cost-Sensitive Classification to Tight F-measure BoundsAISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253
Communication dans un congrès
hal-02049763
v1
|
|
Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistesCAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. pp.1-2
Communication dans un congrès
hal-02268004
v1
|
|
Improving Domain Adaptation By Source SelectionICIP 2019 - IEEE International Conference on Image Processing, Sep 2019, Taïpei, Taiwan. ⟨10.1109/ICIP.2019.8803325⟩
Communication dans un congrès
hal-02136378
v1
|
|
Extraction d'un noyau non stationnaire de processus gaussien à l'aide des ondelettesGRETSI 2019, Aug 2019, Lille, France
Communication dans un congrès
hal-02308042
v1
|
|
Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibréConférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France
Communication dans un congrès
hal-02868516
v1
|
Interpreting Neural Networks as Majority Votes through the PAC-Bayesian TheoryWorkshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02335762
v1
|
|
|
Subtle Motion Analysis and Spotting using the Riesz PyramidVISIGRAPP 2018, Jan 2018, Funchal, Portugal
Communication dans un congrès
hal-01699350
v1
|
Decimaxsum: Using decimation to improve max-sum on cyclic dcops21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018), Oct 2018, Roses, Spain. pp.27-36, ⟨10.3233/978-1-61499-918-8-27⟩
Communication dans un congrès
hal-01861622
v1
|
|
Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France
Communication dans un congrès
hal-01803183
v1
|
|
Improving Max-Sum through Decimation to Solve Cyclic Distributed Constraint Optimization ProblemsInternational Workshop on Optimisation in Multi-Agent Systems (OPTMAS), 2018, Stockholm, Sweden
Communication dans un congrès
hal-01804326
v1
|
|
GPU Accelerated Probabilistic Latent Sequential Motifs for Activity AnalysisInternational Conference on Computer Vision Theory and Applications, Jan 2018, Funchal, Portugal. pp.409-418
Communication dans un congrès
hal-01991806
v1
|
|
Decimaxsum : Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents26èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018), Oct 2018, Métabief, France. pp.63-72
Communication dans un congrès
hal-01861618
v1
|
|
|
Micro-Expression Spotting using the Riesz PyramidWACV 2018, Mar 2018, Lake Tahoe, United States
Communication dans un congrès
hal-01699355
v1
|
|
Residual Conv-Deconv Grid Network for Semantic SegmentationBMVC 2017, Sep 2017, Londre, United Kingdom
Communication dans un congrès
hal-01567725
v1
|
|
Improving Chairlift Security with Deep LearningInternational Symposium on Intelligent Data Analysis (IDA 2017), Oct 2017, Londres, United Kingdom
Communication dans un congrès
hal-01581392
v1
|
|
Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variablesRFIA 2016, Jun 2016, Clermont Ferrand, France
Communication dans un congrès
hal-01318461
v1
|
Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de GénéralisationCAp2016, Jul 2016, Marseille, France
Communication dans un congrès
hal-01359282
v1
|
|
|
Semantic Segmentation via Multi-task, Multi-domain LearningS+SSPR 2016 The joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016) , Nov 2016, Merida, Mexico
Communication dans un congrès
hal-01376998
v1
|
|
Unsupervised Interpretable Pattern Discovery in Time Series Using AutoencodersThe joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016), Nov 2016, Merida, Mexico
Communication dans un congrès
hal-01374576
v1
|
|
Metric Learning as Convex Combinations of Local Models with Generalization GuaranteesCVPR2016, Jun 2016, Las Vegas, United States
Communication dans un congrès
hal-01323567
v1
|
|
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled DataNIPS 2016, Dec 2016, Barcelona, Spain
Communication dans un congrès
hal-01359298
v1
|
|
Mixed Pooling Neural Networks for Color ConstancyIEEE International Conference on Image Processing, Sep 2016, Phoenix, United States
Communication dans un congrès
hal-01314066
v1
|
|
Predicting a Community's Flu Dynamics with Mobile Phone DataComputer-Supported Cooperative Work and Social Computing, Mar 2015, Vancouver, Canada. ⟨10.1145/2675133.2675237⟩
Communication dans un congrès
hal-01146198
v1
|
|
Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States
Communication dans un congrès
hal-01124975
v1
|
|
What to Show? - Automatic Stream Selection among Multiple SensorsInternational Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.1
Communication dans un congrès
hal-00965916
v1
|
|
Automated Bobbing and Phase Analysis to Measure Walking Entrainment to MusicIEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1
Communication dans un congrès
hal-01004425
v1
|
|
Contextually Constrained Deep Networks for Scene LabelingBritish Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom
Communication dans un congrès
hal-01020539
v1
|
Prise en Compte du Contexte pour Contraindre les Réseaux Profonds: Application à l'Étiquetage de ScènesConférence d'Apprentissage, CAP 2014, Saint-Etienne, Jul 2014, Saint-Etienne, France
Communication dans un congrès
hal-01011948
v1
|
|
|
Time-Sensitive Topic Models for Action Recognition in VideosICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia
Communication dans un congrès
hal-00872048
v1
|
Localized Anomaly Detection via Hierarchical Integrated Activity DiscoveryAVSS - IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Kraków, Poland
Communication dans un congrès
hal-00872057
v1
|
|
|
Case Study of the OMiSCID Middleware: Wizard of Oz Experiment in Smart EnvironmentsThe Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Oct 2010, Florence, Italy
Communication dans un congrès
hal-00780416
v1
|
|
OMiSCID 2.0, un intergiciel gratuit pour la construction d'applications distribuéesMajecStic, Oct 2010, Bordeaux, France
Communication dans un congrès
hal-00632913
v1
|
|
Usable developer-oriented Functionality Composition Language (UFCL): a Proposal for Semantic Description and Dynamic Composition of Services and Service Factories4th IET International Conference on Intelligent Environments, Jul 2008, Seattle, United States. pp.1-8
Communication dans un congrès
hal-00670655
v1
|
|
Perceptive Services Composition using semantic language and distributed knowledgeCommon Models and Patterns for Pervasive Computing at the 5th International Conference on Pervasive Computin, May 2007, Toronto (Ontario), Canada
Communication dans un congrès
inria-00326679
v1
|
|
jOMiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaireAtelier de travail OSGi 2006, 2006, Paris, France
Communication dans un congrès
hal-00097090
v1
|
|
O3MiSCID, a Middleware for Pervasive Environments1st IEEE International Workshop on Services Integration in Pervasive Environments, IEEE, Jun 2006, Lyon, France
Communication dans un congrès
inria-00326528
v1
|
|
A Lightweight Speech Detection System for Perceptive Environments3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, May 2006, Washington, United States
Communication dans un congrès
inria-00326529
v1
|
Predicting laser energy absorption on nanostructured surfaces with deep learningMachine Learning in Photonics, Apr 2024, Strasbourg, France. SPIE, pp.74, ⟨10.1117/12.3022317⟩
Poster de conférence
hal-04888157
v1
|
|
Unsupervised Domain Adaptation Based on Subspace AlignmentDomain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, Springer International Publishing, pp.81-94, 2017, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-319-58347-1_4⟩
Chapitre d'ouvrage
hal-01613051
v1
|
|
Osons le constructivisme : Atelier de formation aux "débats scientifiquesEnseigner, étudier dans le supérieur : pratiques pédagogiques et finalités éducatives, pp.497-502, 2008
Chapitre d'ouvrage
hal-03811209
v1
|
|
Provably accurate adaptive sampling for collocation points in physics-informed neural networks2025
Pré-publication, Document de travail
hal-05017201
v2
|
|
Photonic Self-Learning in Ultrafast Laser-Induced Complexity2025
Pré-publication, Document de travail
hal-05012225
v1
|
|
Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder2021
Pré-publication, Document de travail
hal-03409930
v1
|
|
End-to-end Learning for Early Classification of Time Series2019
Pré-publication, Document de travail
hal-02174314
v1
|
|
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems[Research Report] Ecole des Mines de Saint Etienne (EMSE). 2017
Rapport
(rapport de recherche)
hal-01534066
v1
|
|
Semantic Description of Services and Service Factories for Ambient IntelligenceSoftware Engineering [cs.SE]. Institut National Polytechnique de Grenoble - INPG, 2009. English. ⟨NNT : ⟩
Thèse
tel-00450479
v1
|
|
Avancées en apprentissage statistique pour la détection d’anomalies et le transfertIntelligence artificielle [cs.AI]. Université Jean Monnet (Saint-Etienne), 2024
HDR
tel-05015636
v1
|
Chargement...
Chargement...