The open source RFortran library for accessing R from Fortran, with applications in environmental modelling. - Mark A. Thyer; Michael Leonard; Dmitri Kavetski; Stephen Need; Benjamin Renard (Environ. Model. Softw., 2011)

Dimensioning X2 backhaul link in LTE networks. - Alexandre Blogowski; Olivier Klopfenstein; Benjamin Renard (ICC, 2012)

A dimensioning method for the LTE X2 interface. - Benjamin Renard; Salah-Eddine Elayoubi; Alain Simonian (WCNC, 2012)

Joining the yellow hub: Uses of the Simple Application Messaging Protocol in Space Physics analysis tools. - Vincent Génot; Nicolas André; Baptiste Cecconi; M. Bouchemit; E. Budnik; N. Bourrel; Michel Gangloff; N. Dufourg; Sebastien Hess; Ronan Modolo; Benjamin Renard; Nicolas Lormant; et al. (Astron. Comput., 2014)

Online time-dependent clustering using probabilistic topic models. - Benjamin Renard; Milad Kharratzadeh; Mark Coates (ICASSP, 2015)

Bayesian topic model approaches to online and time-dependent clustering. - Milad Kharratzadeh; Benjamin Renard; Mark J. Coates (Digit. Signal Process., 2015)

A generalised approach for identifying influential data in hydrological modelling. - David P. Wright; Mark A. Thyer; Seth Westra; Benjamin Renard; David McInerney (Environ. Model. Softw., 2019)

Positional Paper: Schema-First Application Telemetry. - Yuri Shkuro; Benjamin Renard; Atul Singh (ACM SIGOPS Oper. Syst. Rev., 2022)

A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data. - Menouar Azib; Benjamin Renard; Philippe Garnier; Vincent Génot; Nicolas André (ICMLA, 2023)

Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression. - Ngo Nghi Truyen Huynh; Pierre-André Garambois; François Colleoni; Benjamin Renard; Hélène Roux (CoRR, 2023)

Learning Regionalization within a Differentiable High-Resolution Hydrological Model using Accurate Spatial Cost Gradients. - Ngo Nghi Truyen Huynh; Pierre-André Garambois; François Colleoni; Benjamin Renard; Hélène Roux; Julie Demargne; Pierre Javelle (CoRR, 2023)

A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP. - Menouar Azib; Benjamin Renard; Philippe Garnier; Vincent Génot; Nicolas André (CoRR, 2023)

Universal Event Detection in Time Series. - Menouar Azib; Benjamin Renard; Philippe Garnier; Vincent Génot; Nicolas André (CoRR, 2023)