Rémi Emonet
Publications
Publications
|
|
Learning dynamics in ultrafast laser self-organizationProgress in Ultrafast Laser Modifications of Materials, Jun 2025, Villars-sur-Ollon, France |
|
|
Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data37th IEEE International Conference on Tools with Artificial Intelligence, Institute of Electrical and Electronics Engineers, Nov 2025, Athènes, Greece. pp.1436-1442, ⟨10.1109/ICTAI66417.2025.00207⟩ |
|
|
Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural NetworksEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. pp.19-37, ⟨10.1007/978-3-032-06096-9_2⟩ |
|
|
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target StochasticityNeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (CA), United States |
|
|
Speech transformer models for extracting information from baby criesWorkshop on Child Computer Interaction - WOCCI 2025, Aug 2025, Nijmegen, Netherlands. pp.11 - 15, ⟨10.21437/wocci.2025-3⟩ |
|
|
A Bregman Proximal Viewpoint on Neural OperatorsInternational Conference on Machine Learning, Jul 2025, Vancouver, Canada |
|
|
Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels30ème Colloque sur le traitement du signal et des images GRETSI, Aug 2025, Strasbourg, France |
|
|
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⟩ |
|
|
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 |
|
|
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 |
|
|
Deciphering the complexity behind laser-induced selforganized nanopatterns17th International Conference on Laser Ablation (COLA 2024), Sep 2024, Hersonissos, Greece |
|
|
Length Independent PAC-Bayes Bounds for Simple RNNsAISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valence, Spain |
|
|
Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNsECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania |
|
|
Unsupervised Learning and Effective Complexity: introducing JPG and Neural SophisticationInternational Conference on Tools with Artificial Intelligence (ICTAI), Oct 2024, Herndon, United States |
|
|
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⟩ |
|
|
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⟩ |
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundCAp 2022, Jul 2022, Vannes, France |
|
|
|
Optimal Tensor TransportAAAI, Feb 2022, Vancouver, Canada. ⟨10.1609/aaai.v36i7.20672⟩ |
Optimisation muliticritère de couleurs plasmoniques pour les documents d'identitéNanoApp 2022 - Colloque « Apparence visuelle de milieux nanostructurés », Kevin Vynck, Nov 2022, Villeurbanne, France |
|
|
|
Stochasticity versus determinism in LIPSS formation10th International Workshop LIPSS, Sep 2022, Orléans, France |
Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexitéCAp 2022, Jul 2022, Vannes, France |
|
Optimisation multicritère de couleurs plasmoniques pour les documents d’identitéNanoApp 2022, Nov 2022, Lyon, France |
|
|
|
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundNeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩ |
|
|
A Swiss Army Knife for Minimax Optimal TransportThirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria |
|
|
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⟩ |
|
|
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⟩ |
|
|
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⟩ |
MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibréesConférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France |
|
|
|
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⟩ |
|
|
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 |
|
|
Improving Domain Adaptation By Source SelectionICIP 2019 - IEEE International Conference on Image Processing, Sep 2019, Taïpei, Taiwan. ⟨10.1109/ICIP.2019.8803325⟩ |
|
|
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⟩ |
|
|
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 |
|
|
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 |
|
|
Extraction d'un noyau non stationnaire de processus gaussien à l'aide des ondelettesGRETSI 2019, Aug 2019, Lille, France |
Interpreting Neural Networks as Majority Votes through the PAC-Bayesian TheoryWorkshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada |
|
|
|
Subtle Motion Analysis and Spotting using the Riesz PyramidVISIGRAPP 2018, Jan 2018, Funchal, Portugal |
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 |
|
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⟩ |
|
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 |
|
Improving Max-Sum through Decimation to Solve Cyclic Distributed Constraint Optimization ProblemsInternational Workshop on Optimisation in Multi-Agent Systems (OPTMAS), 2018, Stockholm, Sweden |
|
GPU Accelerated Probabilistic Latent Sequential Motifs for Activity AnalysisInternational Conference on Computer Vision Theory and Applications, Jan 2018, Funchal, Portugal. pp.409-418 |
|
|
|
Micro-Expression Spotting using the Riesz PyramidWACV 2018, Mar 2018, Lake Tahoe, United States |
|
|
Improving Chairlift Security with Deep LearningInternational Symposium on Intelligent Data Analysis (IDA 2017), Oct 2017, Londres, United Kingdom |
|
|
Residual Conv-Deconv Grid Network for Semantic SegmentationBMVC 2017, Sep 2017, Londre, United Kingdom |
Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de GénéralisationCAp2016, Jul 2016, Marseille, France |
|
|
|
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled DataNIPS 2016, Dec 2016, Barcelona, Spain |
|
|
Metric Learning as Convex Combinations of Local Models with Generalization GuaranteesCVPR2016, Jun 2016, Las Vegas, United States |
|
|
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 |
|
|
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 |
|
|
Mixed Pooling Neural Networks for Color ConstancyIEEE International Conference on Image Processing, Sep 2016, Phoenix, United States |
|
|
Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variablesRFIA 2016, Jun 2016, Clermont Ferrand, France |
|
|
Predicting a Community's Flu Dynamics with Mobile Phone DataComputer-Supported Cooperative Work and Social Computing, Mar 2015, Vancouver, Canada. ⟨10.1145/2675133.2675237⟩ |
|
|
Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States |
|
|
What to Show? - Automatic Stream Selection among Multiple SensorsInternational Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.1 |
|
|
Automated Bobbing and Phase Analysis to Measure Walking Entrainment to MusicIEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1 |
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 |
|
|
|
Contextually Constrained Deep Networks for Scene LabelingBritish Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom |
|
|
Time-Sensitive Topic Models for Action Recognition in VideosICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia |
Localized Anomaly Detection via Hierarchical Integrated Activity DiscoveryAVSS - IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Kraków, Poland |
|
|
|
OMiSCID 2.0, un intergiciel gratuit pour la construction d'applications distribuéesMajecStic, Oct 2010, Bordeaux, France |
|
|
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 |
|
|
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 |
|
|
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 |
|
|
jOMiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaireAtelier de travail OSGi 2006, 2006, Paris, France |
|
|
O3MiSCID, a Middleware for Pervasive Environments1st IEEE International Workshop on Services Integration in Pervasive Environments, IEEE, Jun 2006, Lyon, France |
|
|
A Lightweight Speech Detection System for Perceptive Environments3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, May 2006, Washington, United States |
Predicting laser energy absorption on nanostructured surfaces with deep learningMachine Learning in Photonics, Apr 2024, Strasbourg, France. SPIE, pp.74, ⟨10.1117/12.3022317⟩ |
|
|
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⟩ |
|
|
Osons le constructivisme : Atelier de formation aux "débats scientifiquesEnseigner, étudier dans le supérieur : pratiques pédagogiques et finalités éducatives, pp.497-502, 2008 |
|
|
Photonic Self-Learning in Ultrafast Laser-Induced Complexity2025 |
|
|
Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data2025 |
|
|
Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder2021 |
|
|
End-to-end Learning for Early Classification of Time Series2019 |
|
|
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems[Research Report] Ecole des Mines de Saint Etienne (EMSE). 2017 |
|
|
Semantic Description of Services and Service Factories for Ambient IntelligenceSoftware Engineering [cs.SE]. Institut National Polytechnique de Grenoble - INPG, 2009. English. ⟨NNT : ⟩ |
|
|
Avancées en apprentissage statistique pour la détection d’anomalies et le transfertIntelligence artificielle [cs.AI]. Université Jean Monnet (Saint-Etienne), 2024 |