Rémi Emonet

82 papers A* 11A 8B 12Misc 1Journal 32Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Slope-Track: Multiple Object Tracking on Ski Slopes.
Comput. Vis. Image Underst.
M'saydez Campbell, Christophe Ducottet, Damien Muselet, Rémi Emonet
2025 A* conf
A Bregman Proximal Viewpoint on Neural Operators.
ICML
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban
2025 J jnl
Acoustic evaluation of a neural network dedicated to the detection of animal vocalisations.
CoRR
Jérémy Rouch, M. Ducrettet, S. Haupert, Rémi Emonet, Frédéric Sèbe
2025 J jnl
Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels.
CoRR
Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban
2025 J jnl
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity.
CoRR
Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet
2025 B conf
Physics-Informed Machine Learning for Modeling CO2 Capture from Scarce Data.
ICTAI
Mickael Gault, Pierre Bachaud, Benoît Celse, Rémi Emonet, Marc Sebban
2025 — conf
Provably Accurate Adaptive Sampling for Collocation Points in Physics-Informed Neural Networks.
ECML/PKDD (5)
Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban
2025 J jnl
Provably accurate adaptive sampling for collocation points in physics-informed neural networks.
CoRR
Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban
2025 J jnl
Speech transformer models for extracting information from baby cries.
CoRR
Guillem Bonafos, Jérémy Rouch, Lény Lego, David Reby, Hugues Patural, Nicolas Mathevon, Rémi Emonet
2025 J jnl
Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data.
CoRR
Fayad Ali Banna, Antoine Caradot, Eduardo Brandao, Jean-Philippe Colombier, Rémi Emonet, Marc Sebban
2025 J jnl
Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software.
PLoS Comput. Biol.
Lana Minier, Jérémy Rouch, Bamdad Sabbagh, Frédéric Bertucci, Eric Parmentier, David Lecchini, Frédéric Sèbe, Nicolas Mathevon, Rémi Emonet
2024 — conf
Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs.
ECML/PKDD (4)
Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban
2024 — book
Avancées en apprentissage statistique pour la détection d'anomalies et le transfert.
Rémi Emonet
2024 — conf
Historical Printed Ornaments: Dataset and Tasks.
ICDAR (3)
Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel
2024 J jnl
Historical Printed Ornaments: Dataset and Tasks.
CoRR
Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel
2024 A conf
Length independent PAC-Bayes bounds for Simple RNNs.
AISTATS
Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau
2024 A conf
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures.
AISTATS
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
2024 J jnl
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures.
CoRR
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
2024 J jnl
On the theoretical limit of gradient descent for Simple Recurrent Neural Networks with finite precision.
Trans. Mach. Learn. Res.
Volodimir Mitarchuk, Rémi Emonet, Rémi Eyraud, Amaury Habrard
2024 B conf
Physics-Informed Machine Learning for Better Understanding Laser-Matter Interaction.
ICTAI
Fayad Ali Banna, Jean-Philippe Colombier, Rémi Emonet, Marc Sebban
2024 B conf
Unsupervised Learning and Effective Complexity: Introducing JPG and Neural Sophistication.
ICTAI
Erick Gomez Soto, Rémi Emonet, Marc Sebban
2023 A* conf
Fair Text Classification with Wasserstein Independence.
EMNLP
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
2023 J jnl
Fair Text Classification with Wasserstein Independence.
CoRR
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
2023 — conf
Is My Neural Net Driven by the MDL Principle?
ECML/PKDD (2)
Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban
2022 J jnl
Learning PDE to Model Self-Organization of Matter.
Entropy
Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban
2022 A* conf
Optimal Tensor Transport.
AAAI
Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban
2021 J jnl
A Nearest Neighbor Algorithm for Imbalanced Classification.
Int. J. Artif. Intell. Tools
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2021 A* conf
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.
NeurIPS
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
2021 J jnl
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.
CoRR
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
2021 J jnl
Sampled Gromov Wasserstein.
Mach. Learn.
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2021 J jnl
Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach.
Log. J. IGPL
Jesús Cerquides, Juan Antonio Rodríguez-Aguilar, Rémi Emonet, Gauthier Picard
2020 A* conf
A Swiss Army Knife for Minimax Optimal Transport.
ICML
Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2020 B conf
Adversarial Regularization for Explainable-by-Design Time Series Classification.
ICTAI
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard
2020 A* conf
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data.
IJCAI
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
2020 J jnl
Mean Oriented Riesz Features for Micro Expression Classification.
CoRR
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand
2020 J jnl
Mean oriented Riesz features for micro expression classification.
Pattern Recognit. Lett.
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand
2020 A* conf
Metric Learning in Optimal Transport for Domain Adaptation.
IJCAI
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2019 B conf
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
ICTAI
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2019 J jnl
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
CoRR
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2019 J jnl
End-to-end Learning for Early Classification of Time Series.
CoRR
Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
2019 A conf
From Cost-Sensitive to Tight F-measure Bounds.
AISTATS
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
2019 B conf
Improving Domain Adaptation by Source Selection.
ICIP
Kevin Bascol, Rémi Emonet, Élisa Fromont
2019 J jnl
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization.
CoRR
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
2018 — conf
DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs.
CCIA
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar
2018 — conf
DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement.
JFSMA
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar
2018 — conf
Fast and Provably Effective Multi-view Classification with Landmark-Based SVM.
ECML/PKDD (2)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2018 — conf
GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis.
VISIGRAPP (5: VISAPP)
K. Wasif Mohiuddin, Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez, Pierre Moulin
2018 J jnl
IoU is not submodular.
CoRR
Tanguy Kerdoncuff, Rémi Emonet
2018 A conf
Micro-Expression Spotting Using the Riesz Pyramid.
WACV
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
2018 — conf
Subtle Motion Analysis and Spotting using the Riesz Pyramid.
VISIGRAPP (5: VISAPP)
Carlos A. Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
2018 J jnl
Ten simple rules for collaborative lesson development.
PLoS Comput. Biol.
Gabriel A. Devenyi, Rémi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson
2017 B conf
Improving Chairlift Security with Deep Learning.
IDA
Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere
2017 J jnl
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems.
CoRR
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar
2017 J jnl
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CoRR
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2017 J jnl
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression.
Neurocomputing
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf
2017 A conf
Residual Conv-Deconv Grid Network for Semantic Segmentation.
BMVC
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
2017 J jnl
Residual Conv-Deconv Grid Network for Semantic Segmentation.
CoRR
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
2017 J jnl
Ten simple rules for collaborative lesson development.
CoRR
Gabriel A. Devenyi, Rémi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson
2017 — ch.
Unsupervised Domain Adaptation Based on Subspace Alignment.
Domain Adaptation in Computer Vision Applications
Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars
2016 J jnl
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms.
CoRR
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016 A* conf
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees.
CVPR
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016 B conf
Mixed pooling neural networks for color constancy.
ICIP
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
2016 — conf
Semantic Segmentation via Multi-task, Multi-domain Learning.
S+SSPR
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
2016 — conf
Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders.
S+SSPR
Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez
2016 — conf
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data.
NIPS
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2015 A* conf
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation.
CVPR
Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban
2015 A conf
Predicting a Community's Flu Dynamics with Mobile Phone Data.
CSCW
Katayoun Farrahi, Rémi Emonet, Manuel Cebrián
2014 B conf
Automated bobbing and phase analysis to measure walking entrainment to music.
ICIP
Adolfo López-Mendez, Carina Westling, Rémi Emonet, M. Easteal, L. Lavia, Harry J. Witchel, Jean-Marc Odobez
2014 A conf
Contextually Constrained Deep Networks for Scene Labeling.
BMVC
Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf
2014 J jnl
Temporal Analysis of Motif Mixtures Using Dirichlet Processes.
IEEE Trans. Pattern Anal. Mach. Intell.
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2014 — conf
What to Show? - Automatic Stream Selection among Multiple Sensors.
VISAPP (2)
Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez
2013 J jnl
A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs.
Int. J. Comput. Vis.
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2013 B conf
Localized anomaly detection via hierarchical integrated activity discovery.
AVSS
Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez
2013 B conf
Time-sensitive topic models for action recognition in videos.
ICIP
Romain Tavenard, Rémi Emonet, Jean-Marc Odobez
2012 A* conf
Bridging the past, present and future: Modeling scene activities from event relationships and global rules.
CVPR
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2012 Misc conf
Socio-Technical Network Analysis from Wearable Interactions.
ISWC
Katayoun Farrahi, Rémi Emonet, Alois Ferscha
2012 — conf
Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems.
ECCV Workshops (3)
Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Brémond, Andrea Grifoni
2011 A* conf
Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model.
CVPR
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2011 B conf
Multi-camera open space human activity discovery for anomaly detection.
AVSS
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2010 A conf
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes.
BMVC
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
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
2006 — conf
A Lightweight Speech Detection System for Perceptive Environments.
MLMI
Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier