output
20092026
most citedGeomstats: A Python Package for Riemannian Geometry in Machine Learning

96 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.SYShow all

2 papers · 1 filter

eess.SY2025

Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements

Ibrahim Laiche, Mokrane Boudaoud, Patrick Gallinari +1

This article investigates the modeling and control of Lagrangian systems involving non-conservative forces using a hybrid method that does not require acceleration calculations. It…

eess.SY2024★ 4 cited

Invariant Kalman Filtering with Noise-Free Pseudo-Measurements

Sven Goffin, Silvère Bonnabel, Olivier Brüls +1

In this paper, we focus on developing an Invariant Extended Kalman Filter (IEKF) for extended pose estimation for a noisy system with state equality constraints. We treat those con…