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Rémi Emonet
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2020 – today
- 2024
- [c42]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: 3007-3015 - [c41]Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau:
Length independent PAC-Bayes bounds for Simple RNNs. AISTATS 2024: 3547-3555 - [c40]Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel:
Historical Printed Ornaments: Dataset and Tasks. ICDAR (3) 2024: 251-270 - [c39]Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban:
Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs. ECML/PKDD (4) 2024: 266-282 - [i14]Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi:
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. CoRR abs/2402.13285 (2024) - [i13]Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent, Rémi Emonet, Fabienne Vial-Bonacci, Christelle Bahier-Porte, Mathieu Aubry, Thierry Fournel:
Historical Printed Ornaments: Dataset and Tasks. CoRR abs/2408.08633 (2024) - 2023
- [c38]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier:
Fair Text Classification with Wasserstein Independence. EMNLP 2023: 15790-15803 - [c37]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: 173-189 - [i12]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier:
Fair Text Classification with Wasserstein Independence. CoRR abs/2311.12689 (2023) - 2022
- [j9]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): 1096 (2022) - [c36]Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban:
Optimal Tensor Transport. AAAI 2022: 7124-7132 - 2021
- [j8]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): 72-95 (2021) - [j7]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): 2150013:1-2150013:27 (2021) - [j6]Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban:
Sampled Gromov Wasserstein. Mach. Learn. 110(8): 2151-2186 (2021) - [c35]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: 455-467 - [i11]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 abs/2106.12535 (2021) - 2020
- [j5]Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand:
Mean oriented Riesz features for micro expression classification. Pattern Recognit. Lett. 135: 382-389 (2020) - [c34]Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban:
A Swiss Army Knife for Minimax Optimal Transport. ICML 2020: 2504-2513 - [c33]Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard:
Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI 2020: 1079-1087 - [c32]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: 2155-2161 - [c31]Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban:
Metric Learning in Optimal Transport for Domain Adaptation. IJCAI 2020: 2162-2168 - [i10]Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand:
Mean Oriented Riesz Features for Micro Expression Classification. CoRR abs/2005.06198 (2020)
2010 – 2019
- 2019
- [c30]Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban:
From Cost-Sensitive to Tight F-measure Bounds. AISTATS 2019: 1245-1253 - [c29]Kevin Bascol, Rémi Emonet, Élisa Fromont:
Improving Domain Adaptation by Source Selection. ICIP 2019: 3043-3047 - [c28]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: 243-250 - [i9]Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard:
End-to-end Learning for Early Classification of Time Series. CoRR abs/1901.10681 (2019) - [i8]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 abs/1906.00917 (2019) - [i7]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 abs/1909.00693 (2019) - 2018
- [j4]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) - [c27]Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar:
DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs. CCIA 2018: 27-36 - [c26]Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar:
DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement. JFSMA 2018: 63-72 - [c25]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Fast and Provably Effective Multi-view Classification with Landmark-Based SVM. ECML/PKDD (2) 2018: 193-208 - [c24]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: 409-418 - [c23]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: 446-454 - [c22]Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik:
Micro-Expression Spotting Using the Riesz Pyramid. WACV 2018: 66-74 - [i6]Tanguy Kerdoncuff, Rémi Emonet:
IoU is not submodular. CoRR abs/1809.00593 (2018) - 2017
- [j3]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: 68-80 (2017) - [c21]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. BMVC 2017 - [c20]Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere:
Improving Chairlift Security with Deep Learning. IDA 2017: 1-13 - [p1]Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars:
Unsupervised Domain Adaptation Based on Subspace Alignment. Domain Adaptation in Computer Vision Applications 2017: 81-94 - [i5]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
L3-SVMs: Landmarks-based Linear Local Support Vectors Machines. CoRR abs/1703.00284 (2017) - [i4]Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan A. Rodríguez-Aguilar:
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. CoRR abs/1706.02209 (2017) - [i3]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 abs/1707.02662 (2017) - [i2]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. CoRR abs/1707.07958 (2017) - 2016
- [c19]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. CVPR 2016: 1478-1486 - [c18]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Mixed pooling neural networks for color constancy. ICIP 2016: 3997-4001 - [c17]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS 2016: 4358-4366 - [c16]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Semantic Segmentation via Multi-task, Multi-domain Learning. S+SSPR 2016: 333-343 - [c15]Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez:
Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders. S+SSPR 2016: 427-438 - [i1]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms. CoRR abs/1604.01376 (2016) - 2015
- [c14]Katayoun Farrahi, Rémi Emonet, Manuel Cebrián:
Predicting a Community's Flu Dynamics with Mobile Phone Data. CSCW 2015: 1214-1221 - [c13]Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban:
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. CVPR 2015: 56-63 - 2014
- [j2]Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez:
Temporal Analysis of Motif Mixtures Using Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 140-156 (2014) - [c12]Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf:
Contextually Constrained Deep Networks for Scene Labeling. BMVC 2014 - [c11]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: 4186-4190 - [c10]Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez:
What to Show? - Automatic Stream Selection among Multiple Sensors. VISAPP (2) 2014: 433-440 - 2013
- [j1]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): 100-126 (2013) - [c9]Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez:
Localized anomaly detection via hierarchical integrated activity discovery. AVSS 2013: 51-56 - [c8]Romain Tavenard, Rémi Emonet, Jean-Marc Odobez:
Time-sensitive topic models for action recognition in videos. ICIP 2013: 2988-2992 - 2012
- [c7]Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez:
Bridging the past, present and future: Modeling scene activities from event relationships and global rules. CVPR 2012: 2096-2103 - [c6]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: 675-678 - [c5]Katayoun Farrahi, Rémi Emonet, Alois Ferscha:
Socio-Technical Network Analysis from Wearable Interactions. ISWC 2012: 9-16 - 2011
- [c4]Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez:
Multi-camera open space human activity discovery for anomaly detection. AVSS 2011: 218-223 - [c3]Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez:
Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model. CVPR 2011: 3233-3240 - 2010
- [c2]Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez:
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes. BMVC 2010: 1-11
2000 – 2009
- 2009
- [b1]Rémi Emonet:
Semantic Description of Services and Service Factories for Ambient Intelligence. (Description Sémantique de Services et d'Usines à Services pour l'Intelligence Ambiante). Grenoble Institute of Technology, France, 2009 - 2006
- [c1]Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier:
A Lightweight Speech Detection System for Perceptive Environments. MLMI 2006: 336-345
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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