Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir. - Simon Brodeur; Jean Rouat (ICANN (1), 2012)

Robust Hierarchical and Sparse Representation of Natural Sounds in High-Dimensional Space. - Simon Brodeur; Jean Rouat (NOLISP, 2013)

Objets Sonores: Une Représentation Bio-Inspirée Hiérarchique Parcimonieuse À Très Grandes Dimensions Utilisable En Reconnaissance; Auditory Objects: Bio-Inspired Hierarchical Sparse High Dimensional Representation for Recognition. - Simon Brodeur; Jean Rouat (CoRR, 2013)

Optimality of inference in hierarchical coding for distributed object-based representations. - Simon Brodeur; Jean Rouat (CWIT, 2017)

HoME: a Household Multimodal Environment. - Simon Brodeur; Ethan Perez; Ankesh Anand; Florian Golemo; Luca Celotti; Florian Strub; Jean Rouat; Hugo Larochelle; Aaron C. Courville (ICLR (Workshop), 2018)

CREATE: Multimodal Dataset for Unsupervised Learning, Generative Modeling and Prediction of Sensory Data from a Mobile Robot in Indoor Environments. - Simon Brodeur; Simon Carrier; Jean Rouat (CoRR, 2018)

Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir. - Marc-Antoine Moinnereau; Thomas Brienne; Simon Brodeur; Jean Rouat; Kevin Whittingstall; Eric Plourde (CoRR, 2018)

Audio dataset for Household Multimodal Environment (HoME). - Zakaria Belgoum; Jérôme Abdelnour; Simon Brodeur; Jean Rouat (IEEE DataPort, 2018)

Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents. - Luca Celotti; Simon Brodeur; Jean Rouat (CoRR, 2019)

AriEL: volume coding for sentence generation. - Luca Celotti; Simon Brodeur; Jean Rouat (CoRR, 2020)

Self-Supervised Learning of Pose-Informed Latents. - Raphaël Jean; Pierre-Luc St-Charles; Sören Pirk; Simon Brodeur (CVPR Workshops, 2022)

CREATE: Multimodal Dataset for Unsupervised Learning and Generative Modeling of Sensory Data from a Mobile Robot. - Simon Brodeur; Simon Carrier; Jean Rouat (IEEE DataPort, 2022)

Multi-Objective Algorithms for Learning Open-Ended Robotic Problems. - Martin Robert; Simon Brodeur; François Ferland (WF-IoT, 2024)