Gautier Marti
Orcid: 0000-0001-6497-5702
According to our database1,
Gautier Marti
authored at least 16 papers
between 2015 and 2024.
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Bibliography
2024
Mapping Hong Kong's Financial Ecosystem: A Network Analysis of the SFC's Licensed Professionals and Institutions.
CoRR, 2024
Enriching Datasets with Demographics through Large Language Models: What's in a Name?
CoRR, 2024
2021
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
2020
CORRGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Some contributions to the clustering of financial time series and applications to credit default swaps. (Quelques contributions aux méthodes de partitionnement automatique des séries temporelles financières, et applications aux couvertures de défaillance).
PhD thesis, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
Pattern Recognit. Lett., 2016
Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering.
Proceedings of the NIPS 2016 Time Series Workshop, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative.
CoRR, 2015
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms.
CoRR, 2015
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the Geometric Science of Information - Second International Conference, 2015