Towards Prospective Life Cycle Assessment: How to Identify Key Parameters Inducing Most Uncertainties in the Future? Application to Photovoltaic Systems Installed in Spain. - Camille Marini; Isabelle Blanc (ICCSA (3), 2014)

Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes. - Mathieu Galtier; Camille Marini; Gilles Wainrib; Herbert Jaeger (Neural Networks, 2014)

Morpheo: Traceable Machine Learning on Hidden data. - Mathieu Galtier; Camille Marini (CoRR, 2017)

Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy. - Laetitia Le; Camille Marini; Alexandre Gramfort; David Nguyen; Mehdi Cherti; Sana Tfaili; Ali Tfayli; Arlette Baillet-Guffroy; Patrice Prognon; Pierre Chaminade; Eric Caudron; Balázs Kégl (CoRR, 2017)

Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning. - Mathieu N. Galtier; Camille Marini (CoRR, 2019)

Industry-Scale Orchestrated Federated Learning for Drug Discovery. - Martijn Oldenhof; Gergely Ács; Balázs Pejó; Ansgar Schuffenhauer; Nicholas Holway; Noé Sturm; Arne Dieckmann; Oliver Fortmeier; Eric Boniface; Clément Mayer; Arnaud Gohier; Peter Schmidtke; et al. (CoRR, 2022)

Industry-Scale Orchestrated Federated Learning for Drug Discovery. - Martijn Oldenhof; Gergely Ács; Balázs Pejó; Ansgar Schuffenhauer; Nicholas Holway; Noé Sturm; Arne Dieckmann; Oliver Fortmeier; Eric Boniface; Clément Mayer; Arnaud Gohier; Peter Schmidtke; et al. (AAAI, 2023)