Kalman filtering with a class of geometric state equality constraints. - Paul Chauchat; Axel Barrau; Silvère Bonnabel (CDC, 2017)

Invariant smoothing on Lie Groups. - Paul Chauchat; Axel Barrau; Silvère Bonnabel (IROS, 2018)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)

Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors. (Algorithmes de lissage pour la navigation, la localisation et la cartographie, basés sur des capteurs inertiels haute qualité). - Paul Chauchat (2020)

Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch. - Paul Chauchat; Daniel Medina; Jordi Vilà-Valls; Eric Chaumette (FUSION, 2021)

Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. - Paul Chauchat; Axel Barrau; Silvère Bonnabel (IEEE Trans. Control. Syst. Technol., 2021)

Invariant Smoothing with low process noise. - Paul Chauchat; Silvère Bonnabel; Axel Barrau (CDC, 2022)

Robust Linearly Constrained Invariant Filtering for a Class of Mismatched Nonlinear Systems. - Paul Chauchat; Jordi Vilà-Valls; Eric Chaumette (IEEE Control. Syst. Lett., 2022)

Robust Information Filtering Under Model Mismatch for Large-Scale Dynamic Systems. - Paul Chauchat; Jordi Vilà-Valls; Eric Chaumette (IEEE Control. Syst. Lett., 2022)

Robust Kalman Smoothers With Linear Equality Constraints. - Paul Chauchat; Jordi Vilà-Valls; Eric Chaumette (IEEE Control. Syst. Lett., 2022)

Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments. - Yi Ding; Paul Chauchat; Gaël Pagès; Philippe Asseman (IEEE Robotics Autom. Lett., 2022)

On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing. - Paul Chauchat; Jordi Vilà-Valls; Eric Chaumette (Signal Process., 2022)

Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration With Rotating Earth. - Martin Brossard; Axel Barrau; Paul Chauchat; Silvère Bonnabel (IEEE Trans. Robotics, 2022)

Maintaining a Relevant Dataset for Data-Driven MPC Using Willems' Fundamental Lemma Extensions. - Alexandre Faye-Bédrin; Stanislav Aranovskiy; Paul Chauchat; Romain Bourdais (CDC, 2023)

Robust M-Type Error-State Kalman Filters for Attitude Estimation. - Andrea Bellés; Daniel Medina; Paul Chauchat; Samy Labsir; Jordi Vilà-Valls (EUSIPCO, 2023)

Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm. - Paul Chauchat; Axel Barrau; Silvère Bonnabel (CDC, 2024)

Invariant Smoothing for Localization: Including the IMU Biases. - Paul Chauchat; Axel Barrau; Silvère Bonnabel (CDC, 2024)

A computationally efficient reformulation for Data-Enabled Predictive Control. - Alexandre Faye-Bédrin; Stanislav Aranovskiy; Paul Chauchat; Romain Bourdais (CDC, 2024)

Insights on Adaptive Robust Filtering for Navigation Under Harsh Time-Varying Environments. - Paul Chauchat; Andrea Bellés; Daniel Medina; Jordi Vilà-Valls (EUSIPCO, 2024)

Robust error-state Kalman-type filters for attitude estimation. - Andrea Bellés; Daniel Medina; Paul Chauchat; Samy Labsir; Jordi Vilà-Valls (EURASIP J. Adv. Signal Process., 2024)

Willems' Lemma Reformulations: Which Operators Preserve LTI System Behavior? - Alexandre Faye-Bédrin; Paul Chauchat; Stanislav Aranovskiy; Romain Bourdais (IEEE Control. Syst. Lett., 2025)