| Regularity and stability of a wave equation with a strong damping and dynamic boundary conditions N Fourrier, I Lasiecka Evol. Equ. Control Theory 2 (4), 631-667, 2013 | 36 | 2013 |
| Adaptive dependency learning graph neural networks A Sriramulu, N Fourrier, C Bergmeir Information Sciences 625, 700-714, 2023 | 14 | 2023 |
| An unsupervised data-driven model to classify gait patterns in children with cerebral palsy J Choisne, N Fourrier, G Handsfield, N Signal, D Taylor, N Wilson, S Stott, ... Journal of clinical medicine 9 (5), 1432, 2020 | 12 | 2020 |
| Learning to continually learn rapidly from few and noisy data I Nicholas, H Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, ... AAAI Workshop on Meta-Learning and MetaDL Challenge, 65-76, 2021 | 10 | 2021 |
| Plastic and stable gated classifiers for continual learning NI Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| An input residual connection for simplifying gated recurrent neural networks NIH Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 6 | 2020 |
| M2SGD: Learning to Learn Important Weights NI Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 6 | 2020 |
| Analysis of existence, regularity and stability of solutions to wave equations with dynamic boundary conditions N Fourrier PhD thesis, University of Virginia, 2013 | 3 | 2013 |
| MTL2L: A Context Aware Neural Optimiser NI Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen arXiv preprint arXiv:2007.09343, 2020 | 2 | 2020 |
| DecayNet: A Study on the Cell States of Long Short Term Memories NIH Kuo, MT Harandi, H Suominen, N Fourrier, C Walder, G Ferraro | 1 | 2018 |
| DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series A Sriramulu, N Fourrier, C Bergmeir arXiv preprint arXiv:2405.18693, 2024 | | 2024 |
| Learning to Continually Learn Rapidly from Few and Noisy Data M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen arXiv e-prints, arXiv: 2103.04066, 2021 | | 2021 |
| Dependency Learning Graph Neural Network for Multivariate Forecasting A Patel, A Sriramulu, C Bergmeir, N Fourrier Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | | 2021 |
| MTL2L: A Context Aware Neural Optimiser M Harandi, N Fourrier, C Walder, G Ferraro, H Suominen arXiv e-prints, arXiv: 2007.09343, 2020 | | 2020 |
| MTL2L: A Context Aware Neural Optimiser. I Nicholas, H Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, ... CoRR, 2020 | | 2020 |
| A data-driven model to classify gait pattern in children with cerebral palsy J Choisne, N Fourrier, G Handsfield, N Signal, D Taylor, N Wilson, N Stott, ... MDPI AG, 2020 | | 2020 |
| Designing Less Forgetful Networks for Continual Learning I Nicholas, H Kuo, M Harandi, N Fourrier, G Ferraro, C Walder, ... | | |
| Highway-Connection Classifier Networks for Plastic yet Stable Continual Learning I Nicholas, H Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, ... | | |
| EINS: Long Short-Term Memory with Extrapolated Input Network Simplification I Nicholas, H Kuo, MT Harandi, N Fourrier, G Ferraro, C Walder, ... | | |
