Philippe Very

According to our database, Philippe Very authored at least 5 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2021

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Robust Domain Adaptation: Representations, Weights and Inductive Bias.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2015

A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series.

Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Clustering Random Walk Time Series.

Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat

Proceedings of the Geometric Science of Information - Second International Conference, 2015