489 citations · 1.8k across the 17 of their papers we have counts for
4 papers · 1 filter
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
M. -L. Cauwet, C. Couprie, J. Dehos +5
Space-filling designs such as scrambled-Hammersley, Latin Hypercube Sampling and Jittered Sampling have been proposed for fully parallel hyperparameter search, and were shown to be…
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki, Camille Couprie, Morgane Riviere +1
Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic-looking images. An essential characteri…
DeSIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes +2
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant? To help answer this question, we design and investigate different image gene…
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, Yann LeCun
Learning to predict future images from a video sequence involves the construction of an internal representation that models the image evolution accurately, and therefore, to some d…