Nicolas Fourrier

According to our database, Nicolas Fourrier authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Handwriting for Efficient Text Entry in Industrial VR Applications: Influence of Board Orientation and Sensory Feedback on Performance.

Nicolas Fourrier, Guillaume Moreau, Mustapha Benaouicha, Jean-Marie Normand

IEEE Trans. Vis. Comput. Graph., November, 2023

Adaptive dependency learning graph neural networks.

Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir

Inf. Sci., May, 2023

2021

Dependency Learning Graph Neural Network for Multivariate Forecasting.

Arth Patel, Abishek Sriramulu, Christoph Bergmeir, Nicolas Fourrier

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Plastic and Stable Gated Classifiers for Continual Learning.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning to Continually Learn Rapidly from Few and Noisy Data.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

MTL2L: A Context Aware Neural Optimiser.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

CoRR, 2020

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

M²SGD: Learning to Learn Important Weights.

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020