Prati
Gautier Marti
Naslov
Citirano
Citirano
Godina
Autoregressive convolutional neural networks for asynchronous time series
M Binkowski, G Marti, P Donnat
International Conference on Machine Learning, 580-589, 2018
1882018
A review of two decades of correlations, hierarchies, networks and clustering in financial markets
G Marti, F Nielsen, M Bińkowski, P Donnat
Progress in information geometry: Theory and applications, 245-274, 2021
1512021
CorrGAN: Sampling realistic financial correlation matrices using generative adversarial networks
G Marti
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
522020
Clustering Financial Time Series: How Long is Enough?
G Marti, S Andler, F Nielsen, P Donnat
International Joint Conference on Artificial Intelligence, 2016
342016
Toward a generic representation of random variables for machine learning
P Donnat, G Marti, P Very
Pattern Recognition Letters 70, 24-31, 2016
282016
A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series
G Marti, P Very, P Donnat, F Nielsen
IEEE ICMLA, 2015
242015
Optimal Transport vs. Fisher-Rao distance between Copulas for Clustering Multivariate Time Series
G Marti, S Andler, F Nielsen, P Donnat
IEEE Workshop on Statistical Signal Processing, 2016
212016
Optimal Copula Transport for Clustering Multivariate Time Series
G Marti, F Nielsen, P Donnat
IEEE ICASSP, 2015
202015
On clustering financial time series: a need for distances between dependent random variables
G Marti, F Nielsen, P Donnat, S Andler
Computational information geometry: for image and signal processing, 149-174, 2017
142017
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering
G Marti, S Andler, F Nielsen, P Donnat
NIPS 2016 Time Series Workshop, 59-69, 2017
92017
cCorrGAN: Conditional correlation GAN for learning empirical conditional distributions in the elliptope
G Marti, V Goubet, F Nielsen
International Conference on Geometric Science of Information, 613-620, 2021
72021
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms
G Marti, P Donnat, F Nielsen, P Very
arXiv preprint arXiv:1507.08137, 2015
62015
Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport
F Nielsen, G Marti, S Ray, S Pyne
Sankhya B 83, 167-184, 2021
42021
Clustering Random Walk Time Series
G Marti, F Nielsen, P Very, P Donnat
Geometric Science of Information: Second International Conference, GSI 2015 …, 2015
32015
Comment partitionner automatiquement des marches aléatoires? Avec application à la finance quantitative
G Marti, F Nielsen, P Very, P Donnat
GRETSI, 2015
22015
Putting self-supervised token embedding on the tables
M Szafraniec, G Marti, P Donnat
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
12017
Some contributions to the clustering of financial time series and applications to credit default swaps
G Marti
Université Paris Saclay (COmUE), 2017
12017
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Članci 1–17