27 citations · 81 across the 22 of their papers we have counts for
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stat.ML2019
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Nina Miolane, Susan Holmes
Manifold-valued data naturally arises in medical imaging. In cognitive neuroscience, for instance, brain connectomes base the analysis of coactivation patterns between different br…
q-bio.QM2019
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Nina Miolane, Frédéric Poitevin, Yee-Ting Li +1
Cryo-electron microscopy (cryo-EM) is capable of producing reconstructed 3D images of biomolecules at near-atomic resolution. As such, it represents one of the most promising imagi…
cs.LG2019★ 17 cited
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
Johan Mathe, Nina Miolane, Nicolas Sebastien +1
Photovoltaic (PV) power generation has emerged as one of the lead renewable energy sources. Yet, its production is characterized by high uncertainty, being dependent on weather con…