Daniel Brooks

2 papers · 2019–2020 · 2 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 👥 Mega-Team (20)

Conferences

JMLR (1) NIPS (1)

Top co-authors

Christian Shewmake (1) Alice Le Brigant (1) Xavier Pennec (1) Matthieu Cord (1) Olivier Peltre (1) Yann Thanwerdas (1) Johan Mathe (1) Hatem Hajri (1) Yann Cabanes (1) Nina Miolane (1)

Keywords

batch normalization (1) riemannian manifold (1) matrix geometry (1) symmetric positive definite matrix (1) classification performance (1)

Papers

Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020

Riemannian batch normalization for SPD neural networks NIPS 2019