A polynomial approximation algorithm for real-time maximum-likelihood estimation. - Christophe Villien; Eric P. Ostertag (IEEE Trans. Signal Process., 2009)

A sub-gigahertz UWB positioning system with automatic network configuration. - Christophe Villien; Nicolas Deparis; Serge Bories; Norbert Daniele; David Lachartre (WPNC, 2011)

Comparison of post-processing algorithms for indoor navigation trajectories. - Kersane Zoubert-Ousseni; Christophe Villien; François Le Gland (IPIN, 2016)

Feasibility of WiFi Site-Surveying Using Crowdsourced Data. - Sylvain Leirens; Christophe Villien; Bruno Flament (LVA/ICA, 2017)

Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements. - Kersane Zoubert-Ousseni; Christophe Villien; François Le Gland (IPIN, 2017)

Improved multi-channel ranging precision bound for narrowband LPWAN in multipath scenarios. - Florian Wolf 001; Christophe Villien; Sébastien de Rivaz; François Dehmas; Jean-Pierre Cances (WCNC, 2018)

Evaluation of An Indoor Localization Engine. - Christophe Villien; Anne Frassati; Bruno Flament (IPIN, 2019)

Self-learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. - Aleksandra Malkova; Loïc Pauletto; Christophe Villien; Benoît Denis; Massih-Reza Amini (ICANN (5), 2021)

EKF based on two FDE schemes for GNSS Vehicle Navigation. - Christophe Combettes; Christophe Villien (VTC Spring, 2021)

Prediction of TOA-Based Localization Accuracy Using CRLB and 3D Buildings with Field Trial Validation. - Christophe Villien; Nicolas Deparis; Valérian Mannoni; Sébastien de Rivaz (EuCNC, 2022)

RNN-Based GNSS Positioning using Satellite Measurement Features and Pseudorange Residuals. - Ibrahim Sbeity; Christophe Villien; Benoît Denis; E. Veronica Belmega (ICL-GNSS, 2023)

A Novel Satellite Selection Algorithm Using LSTM Neural Networks For Single-epoch Localization. - Ibrahim Sbeity; Christophe Villien; Christophe Combettes; Benoît Denis; E. Veronica Belmega; Marwa Chafii (PLANS, 2023)

UWB-aided GNSS/INS Fusion for Resilient Positioning in GNSS Challenged Environments. - Christophe Villien; Benoît Denis (PLANS, 2023)

Deep Learning with Partially Labeled Data for Radio Map Reconstruction. - Aleksandra Malkova; Massih-Reza Amini; Benoît Denis; Christophe Villien (CoRR, 2023)

Enhancing Drone Localization with Joint UWB and Radar Measurements Using CIR Processing. - Christophe Villien (IPIN, 2024)

Neural architecture search for radio map reconstruction with partially labeled data. - Aleksandra Malkova; Massih-Reza Amini; Benoît Denis; Christophe Villien (Integr. Comput. Aided Eng., 2024)

LSTM-Based GNSS Localization Using Satellite Measurement Features Jointly with Pseudorange Residuals. - Ibrahim Sbeity; Christophe Villien; Benoît Denis; Elena Veronica Belmega (Sensors, 2024)