Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra N Dimitriadis, P Maragos arXiv preprint arXiv:2011.07643, 2020 | 9 | 2020 |
Advances in Morphological Neural Networks: Training, Pruning and Enforcing Shape Constraints N Dimitriadis, P Maragos ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search AC Yüzügüler, N Dimitriadis, P Frossard European Conference on Computer Vision, 173-190, 2022 | 4 | 2022 |
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models N Dimitriadis, P Frossard, F Fleuret International Conference on Machine Learning, 8015-8052, 2023 | 3 | 2023 |
SequeL: A Continual Learning Library in PyTorch and JAX N Dimitriadis, F Fleuret, P Frossard arXiv preprint arXiv:2304.10857, 2023 | 2 | 2023 |
The Theoretical Expressiveness of Maxpooling K Matoba, N Dimitriadis, F Fleuret arXiv preprint arXiv:2203.01016, 2022 | 2 | 2022 |
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence K Matoba, N Dimitriadis, F Fleuret Transactions on Machine Learning Research, 2023 | 1 | 2023 |
Flexible Channel Dimensions for Differentiable Architecture Search AC Yüzügüler, N Dimitriadis, P Frossard arXiv preprint arXiv:2306.08021, 2023 | | 2023 |
Flexible Channel Dimensions for Differentiable Architecture Search A Caner Yüzügüler, N Dimitriadis, P Frossard arXiv e-prints, arXiv: 2306.08021, 2023 | | 2023 |
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search A Caner Yüzügüler, N Dimitriadis, P Frossard arXiv e-prints, arXiv: 2203.12412, 2022 | | 2022 |