Romain Tavenard

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 35

Top Venues

CoRR

IGARSS

IDA

J. Mach. Learn. Res.

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR (2023)
Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. 112 (6) (2023)
Noé Zufferey, Mathias Humbert, Romain Tavenard, Kévin Huguenin
Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. USENIX Security Symposium (2023)
Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil
Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. Int. J. Document Anal. Recognit. 26 (3) (2023)
François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) (2023)
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022)
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
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard
Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI (2020)
Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
Time Series Alignment with Global Invariances. CoRR (2020)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13 (9) (2020)
Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods
Tslearn, A Machine Learning Toolkit for Time Series Data. J. Mach. Learn. Res. 21 (2020)
Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
Optimal Transport for structured data with application on graphs. ICML (2019)
Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard
Localized Random Shapelets. AALTD@PKDD/ECML (2019)
Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner
Early Classification for Agricultural Monitoring from Satellite Time Series. CoRR (2019)
Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
Sliced Gromov-Wasserstein. CoRR (2019)
Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
Sliced Gromov-Wasserstein. NeurIPS (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)
James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
On time series classification with dictionary-based classifiers. Intell. Data Anal. 23 (5) (2019)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) (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)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR (2018)
Ricardo C. Sperandio, Simon Malinowski, Laurent Amsaleg, Romain Tavenard
Time Series Retrieval Using DTW-Preserving Shapelets. SISAP (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Optimal Transport for structured data. CoRR (2018)
James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. CoRR (2018)
Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard
Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS (2017)
Zheng Zhang, Romain Tavenard, Adeline Bailly, Xiaotong Tang, Ping Tang, Thomas Corpetti
Dynamic Time Warping under limited warping path length. Inf. Sci. 393 (2017)
Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 14 (6) (2017)
Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos
Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) (2017)
Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg
Learning DTW-Preserving Shapelets. IDA (2017)
Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard
Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS (2016)
Romain Tavenard, Simon Malinowski
Cost-Aware Early Classification of Time Series. ECML/PKDD (1) (2016)
Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR (2016)
Romain Tavenard, Laurent Amsaleg
Improving the efficiency of traditional DTW accelerators. Knowl. Inf. Syst. 42 (1) (2015)
Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel
Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (2015)
Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard
1d-SAX : une nouvelle représentation symbolique pour les séries temporelles. EGC (2014)
Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard
1d-SAX: A Novel Symbolic Representation for Time Series. IDA (2013)
Romain Tavenard, Rémi Emonet, Jean-Marc Odobez
Time-sensitive topic models for action recognition in videos. ICIP (2013)
Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg
Searching in one billion vectors: re-rank with source coding CoRR (2011)
Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg
Searching in one billion vectors: Re-rank with source coding. ICASSP (2011)
Romain Tavenard, Hervé Jégou, Laurent Amsaleg
Balancing clusters to reduce response time variability in large scale image search. CBMI (2011)
Vincent Claveau, Romain Tavenard, Laurent Amsaleg
Vectorisation des processus d'appariement document-requête. CORIA (2010)
Romain Tavenard, Laurent Amsaleg, Hervé Jégou
Balancing clusters to reduce response time variability in large scale image search CoRR (2010)
Albert Ali Salah, Eric J. Pauwels, Romain Tavenard, Theo Gevers
T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. Sensors 10 (8) (2010)
Romain Tavenard, Laurent Amsaleg, Guillaume Gravier
Model-based similarity estimation of multidimensional temporal sequences. Ann. des Télécommunications 64 (5-6) (2009)
Eric J. Pauwels, Albert Ali Salah, Romain Tavenard
Sensor Networks for Ambient Intelligence. MMSP (2007)
Romain Tavenard, Albert Ali Salah, Eric J. Pauwels
Searching for Temporal Patterns in AmI Sensor Data. AmI Workshops (2007)
Romain Tavenard, Laurent Amsaleg, Guillaume Gravier
Estimation de similarité entre séquences de descripteurs à l'aide de machines à vecteurs supports. BDA (2007)
Romain Tavenard, Onkar Ambekar, Eric J. Pauwels, Max Waaijers
Opportunistic Sensing and Learning in Sensor Networks. CBMI (2007)

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Publication Activity (10 Years)

Top Topics

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Romain Tavenard