Rémi Emonet

According to our database, Rémi Emonet authored at least 59 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Historical Printed Ornaments: Dataset and Tasks.

Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

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

Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Length independent PAC-Bayes bounds for Simple RNNs.

Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fair Text Classification with Wasserstein Independence.

Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Learning PDE to Model Self-Organization of Matter.

Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban

Entropy, 2022

Optimal Tensor Transport.

Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sampled Gromov Wasserstein.

Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

Mach. Learn., 2021

A Nearest Neighbor Algorithm for Imbalanced Classification.

Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban

Int. J. Artif. Intell. Tools, 2021

Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach.

Jesús Cerquides, Juan Antonio Rodríguez-Aguilar, Rémi Emonet, Gauthier Picard

Log. J. IGPL, 2021

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

Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Mean oriented Riesz features for micro expression classification.

Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand

Pattern Recognit. Lett., 2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Metric Learning in Optimal Transport for Domain Adaptation.

Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Regularization for Explainable-by-Design Time Series Classification.

Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

A Swiss Army Knife for Minimax Optimal Transport.

Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization.

Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard

CoRR, 2019

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

Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard

CoRR, 2019

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

Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Improving Domain Adaptation by Source Selection.

Kevin Bascol, Rémi Emonet, Élisa Fromont

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

From Cost-Sensitive to Tight F-measure Bounds.

Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Ten simple rules for collaborative lesson development.

Gabriel A. Devenyi, Rémi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson

PLoS Comput. Biol., 2018

IoU is not submodular.

Tanguy Kerdoncuff, Rémi Emonet

CoRR, 2018

Micro-Expression Spotting Using the Riesz Pyramid.

Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis.

K. Wasif Mohiuddin, Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez, Pierre Moulin

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Subtle Motion Analysis and Spotting using the Riesz Pyramid.

Carlos A. Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Fast and Provably Effective Multi-view Classification with Landmark-Based SVM.

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement.

Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar

Proceedings of the Distribution et Décentralisation, 2018

DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs.

Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar

Proceedings of the Artificial Intelligence Research and Development, 2018

2017

Unsupervised Domain Adaptation Based on Subspace Alignment.

Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression.

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf

Neurocomputing, 2017

L³-SVMs: Landmarks-based Linear Local Support Vectors Machines.

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

CoRR, 2017

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

Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar

CoRR, 2017

Improving Chairlift Security with Deep Learning.

Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Residual Conv-Deconv Grid Network for Semantic Segmentation.

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms.

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

CoRR, 2016

Semantic Segmentation via Multi-task, Multi-domain Learning.

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders.

Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

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

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Mixed pooling neural networks for color constancy.

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Metric Learning as Convex Combinations of Local Models with Generalization Guarantees.

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Landmarks-based kernelized subspace alignment for unsupervised domain adaptation.

Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Predicting a Community's Flu Dynamics with Mobile Phone Data.

Katayoun Farrahi, Rémi Emonet, Manuel Cebrián

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014

Temporal Analysis of Motif Mixtures Using Dirichlet Processes.

Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez

IEEE Trans. Pattern Anal. Mach. Intell., 2014

What to Show? - Automatic Stream Selection among Multiple Sensors.

Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez

Proceedings of the VISAPP 2014, 2014

Automated bobbing and phase analysis to measure walking entrainment to music.

Adolfo López-Mendez, Carina Westling, Rémi Emonet, M. Easteal, L. Lavia, Harry J. Witchel, Jean-Marc Odobez

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Contextually Constrained Deep Networks for Scene Labeling.

Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf

Proceedings of the British Machine Vision Conference, 2014

2013

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

Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez

Int. J. Comput. Vis., 2013

Time-sensitive topic models for action recognition in videos.

Romain Tavenard, Rémi Emonet, Jean-Marc Odobez

Proceedings of the IEEE International Conference on Image Processing, 2013

Localized anomaly detection via hierarchical integrated activity discovery.

Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Socio-Technical Network Analysis from Wearable Interactions.

Katayoun Farrahi, Rémi Emonet, Alois Ferscha

Proceedings of the 16th International Symposium on Wearable Computers, 2012

Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems.

Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Brémond, Andrea Grifoni

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Bridging the past, present and future: Modeling scene activities from event relationships and global rules.

Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model.

Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multi-camera open space human activity discovery for anomaly detection.

Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes.

Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez

Proceedings of the British Machine Vision Conference, 2010

2009

Semantic Description of Services and Service Factories for Ambient Intelligence. (Description Sémantique de Services et d'Usines à Services pour l'Intelligence Ambiante).

Rémi Emonet

PhD thesis, 2009

2006

A Lightweight Speech Detection System for Perceptive Environments.

Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier

Proceedings of the Machine Learning for Multimodal Interaction, 2006