M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. - Rémi Cadène; Thomas Robert 001; Nicolas Thome; Matthieu Cord (CoRR, 2016)

HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. - Thomas Robert 001; Nicolas Thome; Matthieu Cord (ECCV (7), 2018)

Shade: Information-Based Regularization for Deep Learning. - Michaël Blot; Thomas Robert 001; Nicolas Thome; Matthieu Cord (ICIP, 2018)

DualDis: Dual-Branch Disentangling with Adversarial Learning. - Thomas Robert 001; Nicolas Thome; Matthieu Cord (CoRR, 2019)

Improving Latent Representations of ConvNets for Visual Understanding. (Amélioration des représentations latentes des ConvNets pour l'interprétation de données visuelles). - Thomas Robert 001 (2019)

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. - Arthur Douillard; Matthieu Cord; Charles Ollion; Thomas Robert 001; Eduardo Valle (ECCV (20), 2020)

Small-Task Incremental Learning. - Arthur Douillard; Matthieu Cord; Charles Ollion; Thomas Robert 001; Eduardo Valle (CoRR, 2020)

Insights From the Future for Continual Learning. - Arthur Douillard; Eduardo Valle; Charles Ollion; Thomas Robert 001; Matthieu Cord (CVPR Workshops, 2021)

Assessing the Threat Level of Software Supply Chains with the Log Model. - Luis Soeiro; Thomas Robert 001; Stefano Zacchiroli (IEEE Big Data, 2023)

Wild SBOMs: a Large-scale Dataset of Software Bills of Materials from Public Code. - Luis Soeiro; Thomas Robert 001; Stefano Zacchiroli (MSR, 2025)