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Frederiek Wesel
Tytuł
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Large-Scale Learning with Fourier Features and Tensor Decompositions
F Wesel, K Batselier
Advances in Neural Information Processing Systems 34, 17543-17554, 2021
152021
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data
F Wesel, K Batselier
International Conference on Artificial Intelligence and Statistics, 8308-8320, 2023
52023
Position: Tensor Networks are a Valuable Asset for Green AI
E Memmel, C Menzen, J Schuurmans, F Wesel, K Batselier
Proceedings of Machine Learning Research 235, 35340-35353, 2024
4*2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
F Wesel, K Batselier
International Conference on Artificial Intelligence and Statistics, 1261-1269, 2024
22024
A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition
F Wesel, K Batselier
arXiv preprint arXiv:2410.10504, 2024
2024
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine
SJS De Rooij, F Wesel, B Hunyadi
2024 32nd European Signal Processing Conference (EUSIPCO), 1372-1376, 2024
2024
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
F Viset, A Kullberg, F Wesel, A Solin
arXiv preprint arXiv:2408.02346, 2024
2024
Tensor Network-Constrained Kernel Machines as Gaussian Processes
F Wesel, K Batselier
arXiv preprint arXiv:2403.19500, 2024
2024
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