Philippe Very - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Stochastic Adversarial Gradient Embedding for Active Domain AdaptationVictor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot. pkdd 2022: 121-137 [doi]

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract)Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot. IJCAI 2021: 4750-4754 [doi]

2020

Robust Domain Adaptation: Representations, Weights and Inductive BiasVictor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot. pkdd 2021: 353-377 [doi]

2016

Toward a generic representation of random variables for machine learningPhilippe Donnat, Gautier Marti, Philippe Very. prl, 70:24-31, 2016. [doi]

2015

Clustering Random Walk Time SeriesGautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat. gsi 2015: 675-684 [doi]

A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time SeriesGautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen. icmla 2015: 32-37 [doi]

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