Rémi Emonet

Orcid: 0000-0002-1870-1329

According to our database1, Rémi Emonet authored at least 56 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures.
CoRR, 2024

2023
Is My Neural Net Driven by the MDL Principle?
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fair Text Classification with Wasserstein Independence.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Learning PDE to Model Self-Organization of Matter.
Entropy, 2022

Optimal Tensor Transport.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Sampled Gromov Wasserstein.
Mach. Learn., 2021

A Nearest Neighbor Algorithm for Imbalanced Classification.
Int. J. Artif. Intell. Tools, 2021

Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach.
Log. J. IGPL, 2021

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.
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.
Pattern Recognit. Lett., 2020

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Metric Learning in Optimal Transport for Domain Adaptation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Regularization for Explainable-by-Design Time Series Classification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

A Swiss Army Knife for Minimax Optimal Transport.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization.
CoRR, 2019

End-to-end Learning for Early Classification of Time Series.
CoRR, 2019

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Improving Domain Adaptation by Source Selection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

From Cost-Sensitive to Tight F-measure Bounds.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Ten simple rules for collaborative lesson development.
PLoS Comput. Biol., 2018

IoU is not submodular.
CoRR, 2018

Micro-Expression Spotting Using the Riesz Pyramid.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

GPU Accelerated Probabilistic Latent Sequential Motifs for Activity Analysis.
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.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeciMaxSum : Décimer pour résoudre des DCOP cycliques plus efficacement.
Proceedings of the Distribution et Décentralisation, 2018

DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Unsupervised Domain Adaptation Based on Subspace Alignment.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression.
Neurocomputing, 2017

L<sup>3</sup>-SVMs: Landmarks-based Linear Local Support Vectors Machines.
CoRR, 2017

Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems.
CoRR, 2017

Improving Chairlift Security with Deep Learning.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Residual Conv-Deconv Grid Network for Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms.
CoRR, 2016

Semantic Segmentation via Multi-task, Multi-domain Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data.
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.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Metric Learning as Convex Combinations of Local Models with Generalization Guarantees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Predicting a Community's Flu Dynamics with Mobile Phone Data.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014
Temporal Analysis of Motif Mixtures Using Dirichlet Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

What to Show? - Automatic Stream Selection among Multiple Sensors.
Proceedings of the VISAPP 2014, 2014

Automated bobbing and phase analysis to measure walking entrainment to music.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Contextually Constrained Deep Networks for Scene Labeling.
Proceedings of the British Machine Vision Conference, 2014

2013
A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs.
Int. J. Comput. Vis., 2013

Time-sensitive topic models for action recognition in videos.
Proceedings of the IEEE International Conference on Image Processing, 2013

Localized anomaly detection via hierarchical integrated activity discovery.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012
Socio-Technical Network Analysis from Wearable Interactions.
Proceedings of the 16th International Symposium on Wearable Computers, 2012

Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems.
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.
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.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multi-camera open space human activity discovery for anomaly detection.
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.
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).
PhD thesis, 2009

2006
A Lightweight Speech Detection System for Perceptive Environments.
Proceedings of the Machine Learning for Multimodal Interaction, 2006


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