Romain Tavenard

According to our database, Romain Tavenard authored at least 44 papers between 2007 and 2023.

Collaborative distances:

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

2023

Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network.

Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil

Int. J. Document Anal. Recognit., September, 2023

Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data.

Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard

Mach. Learn., June, 2023

Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers.

Noé Zufferey, Mathias Humbert, Romain Tavenard, Kévin Huguenin

Proceedings of the 32nd USENIX Security Symposium, 2023

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment.

François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard

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

2022

Time Series Alignment with Global Invariances.

Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard

Trans. Mach. Learn. Res., 2022

2021

POT: Python Optimal Transport.

Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

J. Mach. Learn. Res., 2021

2020

Tslearn, A Machine Learning Toolkit for Time Series Data.

Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods

J. Mach. Learn. Res., 2020

Fused Gromov-Wasserstein Distance for Structured Objects.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

Algorithms, 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

2019

On time series classification with dictionary-based classifiers.

James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard

Intell. Data Anal., 2019

Early Classification for Agricultural Monitoring from Satellite Time Series.

Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner

CoRR, 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

Localized Random Shapelets.

Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Sliced Gromov-Wasserstein.

Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Hybrid Approach to Time Series Classification with Shapelets.

David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Optimal Transport for structured data with application on graphs.

Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

CoRR, 2018

From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers.

James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard

CoRR, 2018

Optimal Transport for structured data.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

CoRR, 2018

Time Series Retrieval Using DTW-Preserving Shapelets.

Ricardo C. Sperandio, Simon Malinowski, Laurent Amsaleg, Romain Tavenard

Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

2017

Nonlinear Time-Series Adaptation for Land Cover Classification.

Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2017

Dynamic Time Warping under limited warping path length.

Zheng Zhang, Romain Tavenard, Adeline Bailly, Xiaotong Tang, Ping Tang, Thomas Corpetti

Inf. Sci., 2017

Efficient Temporal Kernels Between Feature Sets for Time Series Classification.

Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images.

Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Learning DTW-Preserving Shapelets.

Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016

Cost-Aware Early Classification of Time Series.

Romain Tavenard, Simon Malinowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon.

Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Improving the efficiency of traditional DTW accelerators.

Romain Tavenard, Laurent Amsaleg

Knowl. Inf. Syst., 2015

Bag-of-Temporal-SIFT-Words for Time Series Classification.

Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Dense Bag-of-Temporal-SIFT-Words for Time Series Classification.

Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

2014

1d-SAX : une nouvelle représentation symbolique pour les séries temporelles.

Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013

1d-SAX: A Novel Symbolic Representation for Time Series.

Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard

Proceedings of the Advances in Intelligent Data Analysis XII, 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

2011

Indexation de séquences de descripteurs. (Indexing feature sequences).

Romain Tavenard

PhD thesis, 2011

Searching in one billion vectors: Re-rank with source coding.

Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg

Proceedings of the IEEE International Conference on Acoustics, 2011

Balancing clusters to reduce response time variability in large scale image search.

Romain Tavenard, Hervé Jégou, Laurent Amsaleg

Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

2010

T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data.

Albert Ali Salah, Eric J. Pauwels, Romain Tavenard, Theo Gevers

Sensors, 2010

Vectorisation des processus d'appariement document-requête.

Vincent Claveau, Romain Tavenard, Laurent Amsaleg

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

2009

Model-based similarity estimation of multidimensional temporal sequences.

Romain Tavenard, Laurent Amsaleg, Guillaume Gravier

Ann. des Télécommunications, 2009

2007

Sensor Networks for Ambient Intelligence.

Eric J. Pauwels, Albert Ali Salah, Romain Tavenard

Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

Opportunistic Sensing and Learning in Sensor Networks.

Romain Tavenard, Onkar Ambekar, Eric J. Pauwels, Max Waaijers

Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2007

Estimation de similarité entre séquences de descripteurs à l'aide de machines à vecteurs supports.

Romain Tavenard, Laurent Amsaleg, Guillaume Gravier

Proceedings of the 23èmes Journées Bases de Données Avancées, 2007

Searching for Temporal Patterns in AmI Sensor Data.

Romain Tavenard, Albert Ali Salah, Eric J. Pauwels

Proceedings of the Constructing Ambient Intelligence, 2007