87 citations
- Centre National de la Recherche ScientifiqueFR42 papers
- Université Paris-SaclayFR28 papers
- Université Paris-SudFR23 papers
- International Life Sciences Institute EuropeBE15 papers
- Sorbonne UniversitéFR9 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR8 papers
- Université Paris CitéFR8 papers
- CEA Paris-SaclayFR5 papers
- Hongik UniversityKR5 papers
- Astrophysique, Instrumentation et ModélisationFR4 papers
- ESPCI ParisFR4 papers
- Harbin Institute of TechnologyCN4 papers
77 papers
A Systematic Comparison of Syntactic Representations of Dependency Parsing
Guillaume Wisniewski, Ophélie Lacroix
We compare the performance of a transition-based parser in regards to different annotation schemes. We pro-pose to convert some specific syntactic constructions observed in the uni…
Learning Translations via Matrix Completion
Derry Wijaya, Brendan Callahan, John Hewitt +4
Bilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effectiv…
VR-CAD Framework for Parametric Data Modification with a 3D Shape-based Interaction
Yujiro Okuya, Nicolas Ladeveze, Cédric Fleury +1
In this poster, we present a new VR-CAD framework, allowing user to modify parametric CAD data with 3D interaction in an immersive environment. With this framework, users can impli…
Linear instability of turbulent channel flow
Pavan V. Kashyap, Yohann Duguet, Olivier Dauchot
Laminar-turbulent pattern formation is a distinctive feature of the intermittency regime in subcritical plane shear flows. By performing extensive numerical simulations of the plan…
Stabilization of a multi-frequency open cavity flow with gradient-enriched machine learning control
Guy Y. Cornejo Maceda, Eliott Varon, François Lusseyran +1
We stabilize an open cavity flow experiment to 1% of its original fluctuation level. For the first time, a multi-modal feedback control is automatically learned for this configurat…
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews
Léo Hemamou, Arthur Guillon, Jean-Claude Martin +1
se of machine learning for automatic analysis of job interview videos has recently seen increased interest. Despite claims of fair output regarding sensitive information such as ge…