Philippe Donnat

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 16

Top Topics

Methodological Framework

Multivariate Time Series

Conditional Distribution

Top Venues

Publications

Mikolaj Binkowski, Gautier Marti, Philippe Donnat
Autoregressive Convolutional Neural Networks for Asynchronous Time Series. ICML (2018)
Marc Szafraniec, Gautier Marti, Philippe Donnat
Putting Self-Supervised Token Embedding on the Tables. ICMLA (2017)
Mikolaj Binkowski, Gautier Marti, Philippe Donnat
Autoregressive Convolutional Neural Networks for Asynchronous Time Series. CoRR (2017)
Marc Szafraniec, Gautier Marti, Philippe Donnat
Putting Self-Supervised Token Embedding on the Tables. CoRR (2017)
Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
Clustering Financial Time Series: How Long Is Enough?. IJCAI (2016)
Philippe Donnat, Gautier Marti, Philippe Very
Toward a generic representation of random variables for machine learning. Pattern Recognit. Lett. 70 (2016)
Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series. SSP (2016)
Gautier Marti, Frank Nielsen, Philippe Donnat
Optimal copula transport for clustering multivariate time series. ICASSP (2016)
Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering. NIPS Time Series Workshop (2016)
Gautier Marti, Frank Nielsen, Philippe Donnat
Optimal Copula Transport for Clustering Multivariate Time Series. CoRR (2015)
Gautier Marti, Philippe Donnat, Frank Nielsen, Philippe Very
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms. CoRR (2015)
Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen
A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series. CoRR (2015)
Gautier Marti, Philippe Very, Philippe Donnat
Toward a generic representation of random variables for machine learning. CoRR (2015)
Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat
Clustering Random Walk Time Series. GSI (2015)
Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series. ICMLA (2015)
Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat
Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative. CoRR (2015)