Philippe Donnat

16 papers A* 2C 2Misc 1Journal 8Unranked 3

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