Romain Tavenard

64 papers A* 4A 1B 5C 5Misc 1Journal 28Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2026	J	`jnl`	Layer by layer, module by module: Choose both for optimal OOD probing of ViT. CoRR Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2026	J	`jnl`	Vision Transformer Finetuning Benefits from Non-Smooth Components. CoRR Ambroise Odonnat, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2025	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2025	J	`jnl`	Differentiable Generalized Sliced Wasserstein Plans. CoRR Laetitia Chapel, Romain Tavenard, Samuel Vaiter
2025	J	`jnl`	Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors. Pattern Recognit. Florent Imbert, Éric Anquetil, Yann Soullard, Romain Tavenard
2025	A*	`conf`	One for all and all for one: Efficient computation of partial Wasserstein distances on the line. ICLR Laetitia Chapel, Romain Tavenard
2024	—	`conf`	Domain Adaptation for Handwriting Trajectory Reconstruction from IMU Sensors. ICDAR (Workshops 1) Florent Imbert, Romain Tavenard, Yann Soullard, Éric Anquetil
2024	A	`conf`	KIHT: Kaligo-Based Intelligent Handwriting Teacher. DATE Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jessica Delahaie
2023	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers AALTD@ECML/PKDD Georgiana Ifrim, Romain Tavenard, Anthony J. Bagnall, Patrick Schäfer, Simon Malinowski, Thomas Guyet, Vincent Lemaire
2023	—	`conf`	Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. Int. J. Document Anal. Recognit. Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil
2023	J	`jnl`	Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard
2023	—	`conf`	Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. WF-IoT Alexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jens Barth, Peter Kämpf
2023	A*	`conf`	Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. USENIX Security Symposium Noé Zufferey, Mathias Humbert, Romain Tavenard, Kévin Huguenin
2022	J	`jnl`	Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
2021	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2021	J	`jnl`	POT: Python Optimal Transport. J. Mach. Learn. Res. 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
2020	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers AALTD@PKDD/ECML Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard
2020	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers AALTD@PKDD/ECML Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2020	B	`conf`	Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard
2020	J	`jnl`	Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2020	J	`jnl`	Time Series Alignment with Global Invariances. CoRR Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
2020	J	`jnl`	Tslearn, A Machine Learning Toolkit for Time Series Data. J. Mach. Learn. Res. Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods
2019	—	`conf`	A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
2019	J	`jnl`	Early Classification for Agricultural Monitoring from Satellite Time Series. CoRR Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner
2019	J	`jnl`	End-to-end Learning for Early Classification of Time Series. CoRR Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
2019	J	`jnl`	Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. CoRR Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
2019	—	`conf`	Localized Random Shapelets. AALTD@PKDD/ECML Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard
2019	J	`jnl`	On time series classification with dictionary-based classifiers. Intell. Data Anal. James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
2019	A*	`conf`	Optimal Transport for structured data with application on graphs. ICML Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
2019	A*	`conf`	Sliced Gromov-Wasserstein. NeurIPS Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
2019	J	`jnl`	Sliced Gromov-Wasserstein. CoRR Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
2018	J	`jnl`	From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. CoRR James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
2018	J	`jnl`	Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	J	`jnl`	Optimal Transport for structured data. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	B	`conf`	Time Series Retrieval Using DTW-Preserving Shapelets. SISAP Ricardo C. Sperandio, Simon Malinowski, Laurent Amsaleg, Romain Tavenard
2017	J	`jnl`	Dynamic Time Warping under limited warping path length. Inf. Sci. Zheng Zhang, Romain Tavenard, Adeline Bailly, Xiaotong Tang, Ping Tang, Thomas Corpetti
2017	—	`conf`	Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos
2017	B	`conf`	Learning DTW-Preserving Shapelets. IDA Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg
2017	J	`jnl`	Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
2017	C	`conf`	Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard
2016	C	`conf`	Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard
2016	—	`conf`	Cost-Aware Early Classification of Time Series. ECML/PKDD (1) Romain Tavenard, Simon Malinowski
2016	J	`jnl`	Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel
2015	—	`conf`	Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel
2015	—	`conf`	Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet
2015	J	`jnl`	Improving the efficiency of traditional DTW accelerators. Knowl. Inf. Syst. Romain Tavenard, Laurent Amsaleg
2014	—	`conf`	1d-SAX : une nouvelle représentation symbolique pour les séries temporelles. EGC Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard
2013	B	`conf`	1d-SAX: A Novel Symbolic Representation for Time Series. IDA Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard
2013	B	`conf`	Time-sensitive topic models for action recognition in videos. ICIP Romain Tavenard, Rémi Emonet, Jean-Marc Odobez
2011	C	`conf`	Balancing clusters to reduce response time variability in large scale image search. CBMI Romain Tavenard, Hervé Jégou, Laurent Amsaleg
2011	—	`—`	Indexation de séquences de descripteurs. (Indexing feature sequences). Romain Tavenard
2011	Misc	`conf`	Searching in one billion vectors: Re-rank with source coding. ICASSP Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg
2011	J	`jnl`	Searching in one billion vectors: re-rank with source coding CoRR Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg
2010	J	`jnl`	Balancing clusters to reduce response time variability in large scale image search CoRR Romain Tavenard, Laurent Amsaleg, Hervé Jégou
2010	J	`jnl`	T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. Sensors Albert Ali Salah, Eric J. Pauwels, Romain Tavenard, Theo Gevers
2010	—	`conf`	Vectorisation des processus d'appariement document-requête. CORIA Vincent Claveau, Romain Tavenard, Laurent Amsaleg
2009	J	`jnl`	Model-based similarity estimation of multidimensional temporal sequences. Ann. des Télécommunications Romain Tavenard, Laurent Amsaleg, Guillaume Gravier
2007	—	`conf`	Estimation de similarité entre séquences de descripteurs à l'aide de machines à vecteurs supports. BDA Romain Tavenard, Laurent Amsaleg, Guillaume Gravier
2007	C	`conf`	Opportunistic Sensing and Learning in Sensor Networks. CBMI Romain Tavenard, Onkar Ambekar, Eric J. Pauwels, Max Waaijers
2007	—	`conf`	Searching for Temporal Patterns in AmI Sensor Data. AmI Workshops Romain Tavenard, Albert Ali Salah, Eric J. Pauwels
2007	C	`conf`	Sensor Networks for Ambient Intelligence. MMSP Eric J. Pauwels, Albert Ali Salah, Romain Tavenard