Rémi Emonet

Documents

Publications

	Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns Eduardo Brandao , Anthony Nakhoul , Stefan Duffner , Rémi Emonet , Florence Garrelie Physical Review Letters, 2023, 130, pp.226201. ⟨10.1103/physrevlett.130.226201⟩ Journal articles ujm-04157829v1
	End-to-end learned early classification of time series for in-season crop type mapping Marc Rußwurm , Nicolas Courty , Rémi Emonet , Sébastien Lefèvre , Devis Tuia ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 196, pp.445-456. ⟨10.1016/j.isprsjprs.2022.12.016⟩ Journal articles hal-04023073v1
	Learning PDE to Model Self-Organization of Matter Eduardo Brandao , Jean-Philippe Colombier , Stefan Duffner , Rémi Emonet , Florence Garrelie Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩ Journal articles ujm-03823722v1
	A Nearest Neighbor Algorithm for Imbalanced Classification Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou International Journal on Artificial Intelligence Tools, 2021, 30 (03), pp.2150013. ⟨10.1142/S0218213021500135⟩ Journal articles hal-04646114v2
	Sampled Gromov Wasserstein Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban Machine Learning, 2021, ⟨10.1007/s10994-021-06035-1⟩ Journal articles hal-03232509v2
	Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers? Andrei C Rusu , Rémi Emonet , Katayoun Farrahi PLoS ONE, 2021, 16 (11), pp.e0259969. ⟨10.1371/journal.pone.0259969⟩ Journal articles hal-04488997v1
	Solving highly cyclic distributed optimization problems without busting the bank: a decimation-based approach Jesus Cerquides , Rémi Emonet , Gauthier Picard , Juan A. Rodriguez-Aguilar Logic Journal of the IGPL, 2021, 29 (1), pp.72-95. ⟨10.1093/jigpal/jzaa069⟩ Journal articles hal-02133894v1
	Mean oriented Riesz features for micro expression classification Carlos Arango Duque , Olivier Alata , Rémi Emonet , Hubert Konik , Anne-Claire Legrand Pattern Recognition Letters, 2020, 135, pp.382-389. ⟨10.1016/j.patrec.2020.05.008⟩ Journal articles ujm-02946029v1
	Ten simple rules for collaborative lesson development Gabriel Devenyi , Rémi Emonet , Rayna Harris , Kate Hertweck , Damien Irving PLoS Computational Biology, 2018, 14 (3), ⟨10.1371/journal.pcbi.1005963⟩ Journal articles hal-01864456v1
	Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression Damien Fourure , Rémi Emonet , Elisa Fromont , Damien Muselet , Natalia Neverova Neurocomputing, 2017, 251, pp.68-80. ⟨10.1016/j.neucom.2017.04.014⟩ Journal articles hal-01507132v2
	Temporal Analysis of Motif Mixtures using Dirichlet Processes Rémi Emonet , J. Varadarajan , Jean-Marc Odobez IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, ⟨10.1109/TPAMI.2013.100⟩ Journal articles hal-00872018v1
	Temporal Analysis of Motif Mixtures using Dirichlet Processes Rémi Emonet , J. Varadarajan , Jean-Marc Odobez IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, pp.140 - 156. ⟨10.1109/TPAMI.2013.100⟩ Journal articles hal-00965909v1
	Epidemic Contact Tracing via Communication Traces Katayoun Farrahi , Rémi Emonet , Manuel Cebrian PLoS ONE, 2014, pp.1. ⟨10.1371/journal.pone.0095133⟩ Journal articles hal-01004479v1
	A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs J. Varadarajan , Rémi Emonet , Jean-Marc Odobez International Journal of Computer Vision, 2013, 103 (1), pp.100-126. ⟨10.1007/s11263-012-0596-6⟩ Journal articles hal-00872030v1
	Clustering Flood Events from Water Quality Time-Series using Latent Dirichlet Allocation Model Alice Aubert , Romain Tavenard , Rémi Emonet , Alban de Lavenne , Simon Malinowski Water Resources Research, 2013, 49 (12), pp.8187-8199. ⟨10.1002/2013WR014086⟩ Journal articles halshs-00906292v1
	The OMiSCID 2.0 Middleware: Usage and Experiments in Smart Environments Rémi Barraquand , Dominique Vaufreydaz , Rémi Emonet , Amaury Nègre , Patrick Reignier International Journal On Advances in Software, 2012, 4 (3&4), pp.231-243 Journal articles hal-00693395v1

	Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs Benjamin Girault , Rémi Emonet , Amaury Habrard , Jordan Patracone , Marc Sebban 2024 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2024), Sep 2024, Vilnius, Lithuania Conference papers hal-04518335v1
	Length Independent PAC-Bayes Bounds for Simple RNNs Volodimir Mitarchuk , Clara Lacroce , Rémi Eyraud , Rémi Emonet , Amaury Habrard AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valence, Spain Conference papers hal-04488664v1
	Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard , Rémi Emonet , Amaury Habrard , Emilie Morvant , Valentina Zantedeschi AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain Conference papers hal-04473777v1
	Historical Printed Ornaments: Dataset and Tasks Sayan Kumar Chaki , Zeynep Sonat Baltaci , Elliot Vincent , Rémi Emonet , Fabienne Vial-Bonacci ICDAR 2024 - International Conference on Document Analysis and Recognition, Aug 2024, Athens, Greece. pp.251-270, ⟨10.1007/978-3-031-70543-4_15⟩ Conference papers hal-04720711v1
	Physics-informed Machine Learning for Better Understanding Laser-Matter Interaction Fayad Ali Banna , Jean-Philippe Colombier , Rémi Emonet , Marc Sebban , Rémi Emonet The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2024), IEEE, Oct 2024, Herndon, VA, United States Conference papers hal-04717837v1
	Is My Neural Net Driven by the MDL Principle? Eduardo Brandao , Stefan Duffner , Rémi Emonet , Amaury Habrard , François Jacquenet 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⟩ Conference papers hal-04231405v1
	Fair Text Classification with Wasserstein Independence Thibaud Leteno , Antoine Gourru , Charlotte Laclau , Rémi Emonet , Christophe Gravier 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore. pp.15790-15803, ⟨10.18653/v1/2023.emnlp-main.978⟩ Conference papers hal-04390768v1
	Optimal Tensor Transport Tanguy Kerdoncuff , Michaël Perrot , Rémi Emonet , Marc Sebban AAAI, Feb 2022, Vancouver, Canada. ⟨10.1609/aaai.v36i7.20672⟩ Conference papers hal-03479241v1
	Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité Paul Viallard , Rémi Emonet , Pascal Germain , Amaury Habrard , Emilie Morvant CAp 2022, Jul 2022, Vannes, France Conference papers hal-03703811v1
	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard CAp 2022, Jul 2022, Vannes, France Conference papers hal-03703804v1
	Stochasticity versus determinism in LIPSS formation Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Rémi Emonet , Florence Garrelie 10th International Workshop LIPSS, Sep 2022, Orléans, France Conference papers ujm-03823762v1
	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩ Conference papers hal-03278470v1
	Adversarial regularization for explainable-by-design time series classification Yichang Wang , Rémi Emonet , Elisa Fromont , Simon Malinowski , Romain Tavenard ICTAI 2020 - 32th International Conference on Tools with Artificial Intelligence, Nov 2020, online, Greece. pp.1-9, ⟨10.1109/ICTAI50040.2020.00165⟩ Conference papers hal-03025671v1
	MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Marc Sebban Conférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France Conference papers hal-02868502v1
	A Swiss Army Knife for Minimax Optimal Transport Sofien Dhouib , Ievgen Redko , Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria Conference papers hal-02900712v1
	Metric Learning in Optimal Transport for Domain Adaptation Tanguy Kerdoncuff , Rémi Emonet , Marc Sebban International Joint Conference on Artificial Intelligence, Jan 2020, Kyoto, Japan. pp.2162-2168, ⟨10.24963/ijcai.2020/299⟩ Conference papers ujm-02611800v3
	Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Marc Sebban IJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. pp.2155-2161, ⟨10.24963/ijcai.2020/298⟩ Conference papers hal-02611586v1
	Improving Domain Adaptation By Source Selection Kevin Bascol , Rémi Emonet , Elisa Fromont ICIP 2019 - IEEE International Conference on Image Processing, Sep 2019, Taïpei, Taiwan. ⟨10.1109/ICIP.2019.8803325⟩ Conference papers hal-02136378v1
	Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes Yichang Wang , Rémi Emonet , Elisa Fromont , Simon Malinowski , Etienne Menager CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. pp.1-2 Conference papers hal-02268004v1
	Extraction d'un noyau non stationnaire de processus gaussien à l'aide des ondelettes Romain Ravaille , Olivier Alata , Rémi Emonet GRETSI 2019, Aug 2019, Lille, France Conference papers hal-02308042v1
	Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory Paul Viallard , Rémi Emonet , Pascal Germain , Amaury Habrard , Emilie Morvant Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada Conference papers hal-02335762v1
	Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou Conférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France Conference papers hal-02868516v1
	An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00042⟩ Conference papers hal-02318868v1
	From Cost-Sensitive Classification to Tight F-measure Bounds Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253 Conference papers hal-02049763v1
	Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication. Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France Conference papers hal-01803183v1
	Improving Max-Sum through Decimation to Solve Cyclic Distributed Constraint Optimization Problems Jesus Cerquides , Rémi Emonet , Gauthier Picard , Juan A. Rodriguez-Aguilar International Workshop on Optimisation in Multi-Agent Systems (OPTMAS), 2018, Stockholm, Sweden Conference papers hal-01804326v1
	GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis Khaja Wasif Mohiuddin , Jagannadan Varadarajan , Rémi Emonet , Jean-Marc Odobez , Pierre Moulin International Conference on Computer Vision Theory and Applications, Jan 2018, Funchal, Portugal. pp.409-418 Conference papers hal-01991806v1
	Decimaxsum : Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents Jesus Cerquides , Rémi Emonet , Gauthier Picard , Juan A. Rodriguez-Aguilar 26èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018), Oct 2018, Métabief, France. pp.63-72 Conference papers hal-01861618v1
	Subtle Motion Analysis and Spotting using the Riesz Pyramid Carlos Andres Arango , Olivier Alata , Rémi Emonet , Anne-Claire Legrand , Hubert Konik VISIGRAPP 2018, Jan 2018, Funchal, Portugal Conference papers hal-01699350v1
	Fast and Provably Effective Multi-view Classification with Landmark-based SVM Valentina Zantedeschi , Rémi Emonet , Marc Sebban ECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.193-208, ⟨10.1007/978-3-030-10928-8_12⟩ Conference papers hal-01863895v1
	Micro-Expression Spotting using the Riesz Pyramid Carlos Arango Duque , Olivier Alata , Rémi Emonet , Anne-Claire Legrand , Hubert Konik WACV 2018, Mar 2018, Lake Tahoe, United States Conference papers hal-01699355v1
	Decimaxsum: Using decimation to improve max-sum on cyclic dcops Jesus Cerquides , Rémi Emonet , Gauthier Picard , Juan A. Rodriguez-Aguilar 21st 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⟩ Conference papers hal-01861622v1
	Residual Conv-Deconv Grid Network for Semantic Segmentation Damien Fourure , Rémi Emonet , Elisa Fromont , Damien Muselet , Alain Tremeau BMVC 2017, Sep 2017, Londre, United Kingdom Conference papers hal-01567725v1
	Improving Chairlift Security with Deep Learning Kevin Bascol , Rémi Emonet , Elisa Fromont , Raluca Debusschere International Symposium on Intelligent Data Analysis (IDA 2017), Oct 2017, Londres, United Kingdom Conference papers hal-01581392v1
	Metric Learning as Convex Combinations of Local Models with Generalization Guarantees Valentina Zantedeschi , Rémi Emonet , Marc Sebban CVPR2016, Jun 2016, Las Vegas, United States Conference papers hal-01323567v1
	beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data Valentina Zantedeschi , Rémi Emonet , Marc Sebban NIPS 2016, Dec 2016, Barcelona, Spain Conference papers hal-01359298v1
	Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variables Damien Fourure , Rémi Emonet , Elisa Fromont , Damien Muselet , Alain Tremeau RFIA 2016, Jun 2016, Clermont Ferrand, France Conference papers hal-01318461v1
	Mixed Pooling Neural Networks for Color Constancy Damien Fourure , Rémi Emonet , Elisa Fromont , Damien Muselet , Alain Trémeau IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States Conference papers hal-01314066v1
	Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de Généralisation Valentina Zantedeschi , Rémi Emonet , Marc Sebban CAp2016, Jul 2016, Marseille, France Conference papers hal-01359282v1
	Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders Kevin Bascol , Rémi Emonet , Elisa Fromont , Jean-Marc Odobez The joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016), Nov 2016, Merida, Mexico Conference papers hal-01374576v1
	Semantic Segmentation via Multi-task, Multi-domain Learning Damien Fourure , Rémi Emonet , Elisa Fromont , Damien Muselet , Alain Trémeau S+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 Conference papers hal-01376998v1
	Predicting a Community's Flu Dynamics with Mobile Phone Data Katayoun Farrahi , Rémi Emonet , Manuel Cebrian Computer-Supported Cooperative Work and Social Computing, Mar 2015, Vancouver, Canada. ⟨10.1145/2675133.2675237⟩ Conference papers hal-01146198v1
	Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation Rahaf Aljundi , Rémi Emonet , Damien Muselet , Marc Sebban Computer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States Conference papers hal-01124975v1
	What to Show? - Automatic Stream Selection among Multiple Sensors Rémi Emonet , Elisabeth Oberzaucher , Jean-Marc Odobez International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbon, Portugal. pp.1 Conference papers hal-00965916v1
	Contextually Constrained Deep Networks for Scene Labeling Taygun Kekec , Rémi Emonet , Elisa Fromont , Alain Trémeau , Christian Wolf British Machine Vision Conference, 2014, Sep 2014, Nottingham, United Kingdom Conference papers hal-01020539v1
	Prise en Compte du Contexte pour Contraindre les Réseaux Profonds: Application à l'Étiquetage de Scènes Taygun Kekec , Rémi Emonet , Elisa Fromont , Alain Trémeau , Christian Wolf Conférence d'Apprentissage, CAP 2014, Saint-Etienne, Jul 2014, Saint-Etienne, France Conference papers hal-01011948v1
	Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music Adolfo López-Méndez , Carina E.I. Westling , Rémi Emonet , Matt Easteal , Lisa Lavia IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1 Conference papers hal-01004425v1
	Time-Sensitive Topic Models for Action Recognition in Videos Romain Tavenard , Rémi Emonet , Jean-Marc Odobez ICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia Conference papers hal-00872048v1
	Localized Anomaly Detection via Hierarchical Integrated Activity Discovery Thiyagarajan Chockalingam , Rémi Emonet , Jean-Marc Odobez AVSS - IEEE International Conference on Advanced Video and Signal-Based Surveillance, Aug 2013, Kraków, Poland Conference papers hal-00872057v1
	Case Study of the OMiSCID Middleware: Wizard of Oz Experiment in Smart Environments Remi Barraquand , Dominique Vaufreydaz , Rémi Emonet , Jean-Pascal Mercier The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Oct 2010, Florence, Italy Conference papers hal-00780416v1
	OMiSCID 2.0, un intergiciel gratuit pour la construction d'applications distribuées Rémi Barraquand , Dominique Vaufreydaz , Rémi Emonet , Amaury Nègre , Jean-Pascal Mercier MajecStic, Oct 2010, Bordeaux, France Conference papers hal-00632913v1
	Usable developer-oriented Functionality Composition Language (UFCL): a Proposal for Semantic Description and Dynamic Composition of Services and Service Factories Rémi Emonet , Dominique Vaufreydaz 4th IET International Conference on Intelligent Environments, Jul 2008, Seattle, United States. pp.1-8 Conference papers hal-00670655v1
	Perceptive Services Composition using semantic language and distributed knowledge Rémi Emonet , Dominique Vaufreydaz Common Models and Patterns for Pervasive Computing at the 5th International Conference on Pervasive Computin, May 2007, Toronto (Ontario), Canada Conference papers inria-00326679v1
	O3MiSCID, a Middleware for Pervasive Environments Rémi Emonet , Dominique Vaufreydaz , Patrick Reignier , Julien Letessier 1st IEEE International Workshop on Services Integration in Pervasive Environments, IEEE, Jun 2006, Lyon, France Conference papers inria-00326528v1
	jOMiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaire Patrick Reignier , Sofia Zaidenberg , Rémi Emonet , Dominique Vaufreydaz , Julien Letesssier Atelier de travail OSGi 2006, 2006, Paris, France Conference papers hal-00097090v1
	A Lightweight Speech Detection System for Perceptive Environments Dominique Vaufreydaz , Rémi Emonet , Patrick Reignier 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, May 2006, Washington, United States Conference papers inria-00326529v1

	Unsupervised Domain Adaptation Based on Subspace Alignment Basura Fernando , Rahaf Aljundi , Rémi Emonet , Amaury Habrard , Marc Sebban Domain 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⟩ Book sections hal-01613051v1
	Osons le constructivisme : Atelier de formation aux "débats scientifiques" Marie-Caroline Croset , Rémi Emonet , Emmanuel Frangin , Carmen Galián Barrueco , Frédéric Huguet Enseigner, étudier dans le supérieur : pratiques pédagogiques et finalités éducatives, pp.497-502, 2008 Book sections hal-03811209v1

	Bregman Proximal Viewpoint on Neural Operators Abdel-Rahim Mezidi , Jordan Patracone , Saverio Salzo , Amaury Habrard , Massimiliano Pontil 2024 Preprints, Working Papers, ... hal-04584456v2
	Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder Mohammad Sadil Khan , Rémi Emonet , Thierry Fournel 2021 Preprints, Working Papers, ... hal-03409930v1
	End-to-end Learning for Early Classification of Time Series Marc Russwurm , Sébastien Lefevre , Nicolas Courty , Rémi Emonet , Marco Körner 2019 Preprints, Working Papers, ... hal-02174314v1

	Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems Jesús Cerquides , Rémi Emonet , Gauthier Picard , Juan A. Rodríguez-Aguilar [Research Report] Ecole des Mines de Saint Etienne (EMSE). 2017 Reports hal-01534066v1

	Semantic Description of Services and Service Factories for Ambient Intelligence Rémi Emonet Software Engineering [cs.SE]. Institut National Polytechnique de Grenoble - INPG, 2009. English. ⟨NNT : ⟩ Theses tel-00450479v1

Rémi Emonet

Publications

Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns

End-to-end learned early classification of time series for in-season crop type mapping

Learning PDE to Model Self-Organization of Matter

A Nearest Neighbor Algorithm for Imbalanced Classification

Sampled Gromov Wasserstein

Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers?

Solving highly cyclic distributed optimization problems without busting the bank: a decimation-based approach

Mean oriented Riesz features for micro expression classification

Ten simple rules for collaborative lesson development

Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression

Temporal Analysis of Motif Mixtures using Dirichlet Processes

Temporal Analysis of Motif Mixtures using Dirichlet Processes

Epidemic Contact Tracing via Communication Traces

A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs

Clustering Flood Events from Water Quality Time-Series using Latent Dirichlet Allocation Model

The OMiSCID 2.0 Middleware: Usage and Experiments in Smart Environments

Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

Length Independent PAC-Bayes Bounds for Simple RNNs

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures

Historical Printed Ornaments: Dataset and Tasks

Physics-informed Machine Learning for Better Understanding Laser-Matter Interaction

Is My Neural Net Driven by the MDL Principle?

Fair Text Classification with Wasserstein Independence

Optimal Tensor Transport

Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Stochasticity versus determinism in LIPSS formation

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Adversarial regularization for explainable-by-design time series classification

MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées

A Swiss Army Knife for Minimax Optimal Transport

Metric Learning in Optimal Transport for Domain Adaptation

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data

Improving Domain Adaptation By Source Selection

Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes

Extraction d'un noyau non stationnaire de processus gaussien à l'aide des ondelettes

Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory

Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

From Cost-Sensitive Classification to Tight F-measure Bounds

Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.

Improving Max-Sum through Decimation to Solve Cyclic Distributed Constraint Optimization Problems

GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis

Decimaxsum : Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents

Subtle Motion Analysis and Spotting using the Riesz Pyramid

Fast and Provably Effective Multi-view Classification with Landmark-based SVM

Micro-Expression Spotting using the Riesz Pyramid

Decimaxsum: Using decimation to improve max-sum on cyclic dcops

Residual Conv-Deconv Grid Network for Semantic Segmentation

Improving Chairlift Security with Deep Learning

Metric Learning as Convex Combinations of Local Models with Generalization Guarantees

beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data

Segmentation de scènes extérieures à partir d'ensembles d'étiquettes à granularité et sémantique variables

Mixed Pooling Neural Networks for Color Constancy

Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de Généralisation

Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders

Semantic Segmentation via Multi-task, Multi-domain Learning

Predicting a Community's Flu Dynamics with Mobile Phone Data

Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

What to Show? - Automatic Stream Selection among Multiple Sensors

Contextually Constrained Deep Networks for Scene Labeling

Prise en Compte du Contexte pour Contraindre les Réseaux Profonds: Application à l'Étiquetage de Scènes

Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music

Time-Sensitive Topic Models for Action Recognition in Videos

Localized Anomaly Detection via Hierarchical Integrated Activity Discovery

Case Study of the OMiSCID Middleware: Wizard of Oz Experiment in Smart Environments

OMiSCID 2.0, un intergiciel gratuit pour la construction d'applications distribuées

Usable developer-oriented Functionality Composition Language (UFCL): a Proposal for Semantic Description and Dynamic Composition of Services and Service Factories

Perceptive Services Composition using semantic language and distributed knowledge

O3MiSCID, a Middleware for Pervasive Environments

jOMiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaire

A Lightweight Speech Detection System for Perceptive Environments

Unsupervised Domain Adaptation Based on Subspace Alignment

Osons le constructivisme : Atelier de formation aux "débats scientifiques"

Bregman Proximal Viewpoint on Neural Operators

Vignette detection and reconstruction of composed ornaments with a strengthened autoencoder

End-to-end Learning for Early Classification of Time Series

Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems