Rémi Emonet

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 46

Top Venues

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau
Length independent PAC-Bayes bounds for Simple RNNs. AISTATS (2024)
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. AISTATS (2024)
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. CoRR (2024)
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
Fair Text Classification with Wasserstein Independence. EMNLP (2023)
Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban
Is My Neural Net Driven by the MDL Principle? ECML/PKDD (2) (2023)
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
Fair Text Classification with Wasserstein Independence. CoRR (2023)
Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban
Optimal Tensor Transport. AAAI (2022)
Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban
Learning PDE to Model Self-Organization of Matter. Entropy 24 (8) (2022)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
A Nearest Neighbor Algorithm for Imbalanced Classification. Int. J. Artif. Intell. Tools 30 (3) (2021)
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS (2021)
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CoRR (2021)
Jesús Cerquides, Juan Antonio Rodríguez-Aguilar, Rémi Emonet, Gauthier Picard
Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach. Log. J. IGPL 29 (1) (2021)
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
Sampled Gromov Wasserstein. Mach. Learn. 110 (8) (2021)
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard
Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI (2020)
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand
Mean oriented Riesz features for micro expression classification. Pattern Recognit. Lett. 135 (2020)
Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
A Swiss Army Knife for Minimax Optimal Transport. ICML (2020)
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand
Mean Oriented Riesz Features for Micro Expression Classification. CoRR (2020)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data. IJCAI (2020)
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
Metric Learning in Optimal Transport for Domain Adaptation. IJCAI (2020)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. CoRR (2019)
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
From Cost-Sensitive to Tight F-measure Bounds. AISTATS (2019)
Kevin Bascol, Rémi Emonet, Élisa Fromont
Improving Domain Adaptation by Source Selection. ICIP (2019)
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. CoRR (2019)
Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
End-to-end Learning for Early Classification of Time Series. CoRR (2019)
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. ICTAI (2019)
Tanguy Kerdoncuff, Rémi Emonet
IoU is not submodular. CoRR (2018)
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
Micro-Expression Spotting Using the Riesz Pyramid. WACV (2018)
Gabriel A. Devenyi, Rémi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson
Ten simple rules for collaborative lesson development. PLoS Comput. Biol. 14 (3) (2018)
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar
DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement. JFSMA (2018)
Carlos A. Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
Subtle Motion Analysis and Spotting using the Riesz Pyramid. VISIGRAPP (5: VISAPP) (2018)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Fast and Provably Effective Multi-view Classification with Landmark-Based SVM. ECML/PKDD (2) (2018)
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar
DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs. CCIA (2018)
K. Wasif Mohiuddin, Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez, Pierre Moulin
GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis. VISIGRAPP (5: VISAPP) (2018)
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. CoRR (2017)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
-SVMs: Landmarks-based Linear Local Support Vectors Machines. CoRR (2017)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
Residual Conv-Deconv Grid Network for Semantic Segmentation. CoRR (2017)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
Residual Conv-Deconv Grid Network for Semantic Segmentation. BMVC (2017)
Gabriel A. Devenyi, Rémi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson
Ten simple rules for collaborative lesson development. CoRR (2017)
Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere
Improving Chairlift Security with Deep Learning. IDA (2017)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. Neurocomputing 251 (2017)
Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez
Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders. S+SSPR (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS (2016)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
Mixed pooling neural networks for color constancy. ICIP (2016)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
Semantic Segmentation via Multi-task, Multi-domain Learning. S+SSPR (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms. CoRR (2016)
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. CVPR (2016)
Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. CVPR (2015)
Katayoun Farrahi, Rémi Emonet, Manuel Cebrián
Predicting a Community's Flu Dynamics with Mobile Phone Data. CSCW (2015)
Adolfo López-Mendez, Carina Westling, Rémi Emonet, M. Easteal, L. Lavia, Harry J. Witchel, Jean-Marc Odobez
Automated bobbing and phase analysis to measure walking entrainment to music. ICIP (2014)
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
Temporal Analysis of Motif Mixtures Using Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 36 (1) (2014)
Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf
Contextually Constrained Deep Networks for Scene Labeling. BMVC (2014)
Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez
What to Show? - Automatic Stream Selection among Multiple Sensors. VISAPP (2) (2014)
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs. Int. J. Comput. Vis. 103 (1) (2013)
Romain Tavenard, Rémi Emonet, Jean-Marc Odobez
Time-sensitive topic models for action recognition in videos. ICIP (2013)
Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez
Localized anomaly detection via hierarchical integrated activity discovery. AVSS (2013)
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
Bridging the past, present and future: Modeling scene activities from event relationships and global rules. CVPR (2012)
Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Brémond, Andrea Grifoni
Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems. ECCV Workshops (3) (2012)
Katayoun Farrahi, Rémi Emonet, Alois Ferscha
Socio-Technical Network Analysis from Wearable Interactions. ISWC (2012)
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
Multi-camera open space human activity discovery for anomaly detection. AVSS (2011)
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model. CVPR (2011)
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes. BMVC (2010)
Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier
A Lightweight Speech Detection System for Perceptive Environments. MLMI (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rémi Emonet