Periphear : a nonlinear active model of the auditory periphery. - Arnaud Robert; Jan Eriksson (ICSLP, 1998)

Results on perceptual invariants to transformations on speech. - Arnaud Robert (ICASSP, 1999)

Detection theory and digital watermarking. - Arnaud Robert; Raymond Knopp (Security and Watermarking of Multimedia Contents, 2000)

Neural Networks Functions for Public Key Watermarking. - Justin Picard; Arnaud Robert (Information Hiding, 2001)

Public key watermarking issue. - Justin Picard; Arnaud Robert (Security and Watermarking of Multimedia Contents, 2001)

Masking models and watermark undetection. - Arnaud Robert; Justin Picard (Security and Watermarking of Multimedia Contents, 2001)

Optimizing watermark robustness with respect to a perceptual distortion constraint. - Justin Picard; Arnaud Robert (Security and Watermarking of Multimedia Contents, 2003)

On the use of masking models for image and audio watermarking. - Arnaud Robert; Justin Picard (IEEE Trans. Multim., 2005)

Next generation DRM: cryptography or forensics? - Arnaud Robert (Media Forensics and Security, 2009)

An introduction to interoperable digital rights locker. - Eric Diehl; Arnaud Robert (Digital Rights Management Workshop, 2010)

Digital media distribution: the future. - Arnaud Robert (ACM Multimedia, 2011)

Emerging Concepts and Applied Machine Learning Research in Patients with Drug-Induced Repolarization Disorders. - Mina Bjelogrlic; Arnaud Robert; Arnaud Miribel; Mehdi Namdar; Baris Gencer; Christian Lovis; François Girardin (MIE, 2020)

Evaluation of Document Retrieval Systems on a Medical Corpus in French: Indexation vs. Feature Learning. - Arnaud Robert; Francis Damachi; Mina Bjelogrlic; Jean-Philippe Goldman; Christian Lovis (MIE, 2020)

The Wasserstein-Fourier Distance for Stationary Time Series. - Elsa Cazelles; Arnaud Robert; Felipe A. Tobar (IEEE Trans. Signal Process., 2021)

Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning. - Arnaud Robert; Ciara Pike-Burke; Aldo A. Faisal (NeurIPS, 2023)

Gaussian process deconvolution. - Felipe A. Tobar; Arnaud Robert; Jorge F. Silva (CoRR, 2023)

Learning to Optimise Wind Farms with Graph Transformers. - Siyi Li; Arnaud Robert; A. Aldo Faisal; Matthew D. Piggott (CoRR, 2023)

Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning. - Gianluca Drappo; Arnaud Robert; Marcello Restelli; Aldo A. Faisal; Alberto Maria Metelli; Ciara Pike-Burke (AISTATS, 2025)

Posterior Sampling for Reinforcement Learning on Graphs. - Arnaud Robert; Aldo A. Faisal; Ciara Pike-Burke (Trans. Mach. Learn. Res., 2025)