Concepedia

Nina Miolane

NM

8

Publications

208

Citations

8

H-Index

2015

Active since

Affiliations

Laboratoire d’Imagerie Biomédicale(Current)

University of California, Santa Barbara

Institut national de recherche en sciences et technologies du numérique

Nina Miolane is an author at Laboratoire d’Imagerie Biomédicale specializing in data science, engineering, and deep learning.

Top concepts

EngineeringData ScienceGeometryDeep LearningMachine VisionComputer ScienceMachine LearningNatural SciencesGeometry ModelingComputational Geometry

Publications per year

2015–2023

8

Publications

8

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Nina Miolane, Yann Thanwerdas, Stefan Heyder et al. · arXiv (Cornell University) · 2020 · 97 citations · Full text

Engineering, Machine Learning, Geometry +17

Topological Deep Learning: Going Beyond Graph Data

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou et al. · arXiv (Cornell University) · 2022 · 26 citations · Full text

Combinatorial Complexes, Geometric Learning, Deep Neural Networks +13

PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction

Johan Mathe, Nina Miolane, Nicolas Sébastien et al. · arXiv (Cornell University) · 2019 · 17 citations · Full text

Engineering, Weather Forecasting, Climate Modeling +25

Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics

Nina Miolane, Xavier Pennec · Entropy · 2015 · 15 citations · Full text

Lie Group, Geometry, Consistent Statistics +7

Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats

Nicolas Guigui, Nina Miolane, Xavier Pennec · Foundations and Trends® in Machine Learning · 2023 · 15 citations · Full text

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