Michael Blot, David Picard, Matthieu Cord, Nicolas Thome. Distributed optimization for deep learning with gossip exchange. Neurocomputing, 2018.

Thibaut Durand, Nicolas Thome, Matthieu Cord. SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.

Taylor Mordan, Nicolas Thome, Gilles Henaff, Matthieu Cord. End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. International Journal of Computer Vision (IJCV), 2018.

Thibaut Durand, Nicolas Thome, Matthieu Cord. Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Michael Blot, David Picard, Matthieu Cord, Nicolas Thome. Gossip training for deep learning. Advances in Neural Information Processing Systems (NIPS) Workshop, 2016.

Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Henaff. Deformable Part-based Fully Convolutional Network for Object Detection. British Machine Vision Conference (BMVC), 2017.

Michael Blot, Thomas Robert, Nicolas Thome, Matthieu Cord. SHADE: Information-Based Regularization for Deep Learning. IEEE International Conference on Image Processing (ICIP), 2018.

Thomas Robert, Nicolas Thome, Matthieu Cord. HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. IEEE European Conference on Computer Vision (ECCV), 2018.

Thomas Robert, Nicolas Thome, Matthieu Cord. DualDis: Dual-Branch Disentangling with Adversarial Learning. arXiv:1906.00804, 2019.