Romain Tavenard
Romain Tavenard
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Cited by
POT: Python Optimal Transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
Tslearn, A Machine Learning Toolkit for Time Series Data
R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ...
Journal of Machine Learning Research 21 (118), 1-6, 2020
Data Augmentation for Time Series Classification using Convolutional Neural Networks
A Le Guennec, S Malinowski, R Tavenard
ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, 2016
Searching in one billion vectors: re-rank with source coding
H Jégou, R Tavenard, M Douze, L Amsaleg
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Optimal Transport for structured data with application on graphs
T Vayer, L Chapel, R Flamary, R Tavenard, N Courty
International Conference on Machine Learning 97, 2019
1d-SAX: a Novel Symbolic Representation for Time Series
S Malinowski, T Guyet, R Quiniou, R Tavenard
International Symposium on Intelligent Data Analysis, 2013
Fused Gromov-Wasserstein Distance for Structured Objects
T Vayer, L Chapel, R Flamary, R Tavenard, N Courty
Algorithms 13 (9), 212, 2020
Dynamic Time Warping under limited warping path length
Z Zhang, R Tavenard, A Bailly, X Tang, P Tang, T Corpetti
Information Sciences 393, 91-107, 2017
Sliced Gromov-Wasserstein
V Titouan, R Flamary, N Courty, R Tavenard, L Chapel
Advances in Neural Information Processing Systems, 14726-14736, 2019
Sensor networks for ambient intelligence
EJ Pauwels, AA Salah, R Tavenard
Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on, 13-16, 2007
End-to-end learned early classification of time series for in-season crop type mapping
M Rußwurm, N Courty, R Emonet, S Lefèvre, D Tuia, R Tavenard
ISPRS Journal of Photogrammetry and Remote Sensing 196, 445-456, 2023
On time series classification with dictionary-based classifiers
J Large, A Bagnall, S Malinowski, R Tavenard
Intelligent Data Analysis 23 (5), 1073-1089, 2019
Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping
R Dupas, R Tavenard, O Fovet, N Gilliet, C Grimaldi, C Gascuel‐Odoux
Water Resources Research 51 (11), 8868-8882, 2015
Cost-Aware Early Classification of Time Series
R Tavenard, S Malinowski
European Conference on Machine Learning and Principles and Practice of …, 2016
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
A Bailly, S Malinowski, R Tavenard, L Chapel, T Guyet
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2015
Learning DTW-Preserving Shapelets
A Lods, S Malinowski, R Tavenard, L Amsaleg
International Symposium on Intelligent Data Analysis, 198-209, 2017
Clustering flood events from water quality time series using Latent Dirichlet Allocation model
AH Aubert, R Tavenard, R Emonet, A De Lavenne, S Malinowski, T Guyet, ...
Water Resources Research 49 (12), 8187-8199, 2013
Balancing clusters to reduce response time variability in large scale image search
R Tavenard, H Jégou, L Amsaleg
International Workshop on Content-Based Multimedia Indexing (CBMI 2011), 2011
T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data
AA Salah, E Pauwels, R Tavenard, T Gevers
Sensors 10 (8), 7496-7513, 2010
Improving the Efficiency of Traditional DTW Accelerators
R Tavenard, L Amsaleg
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