| Large-Scale Learning with Fourier Features and Tensor Decompositions F Wesel, K Batselier Advances in Neural Information Processing Systems 34, 17543-17554, 2021 | 12 | 2021 |
| 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 | 3 | 2023 |
| 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 | 2 | 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 |
| Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine SJS de Rooij, F Wesel, B Hunyadi arXiv preprint arXiv:2408.00437, 2024 | | 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 | | 2024 |
| Tensor Network-Constrained Kernel Machines as Gaussian Processes F Wesel, K Batselier arXiv preprint arXiv:2403.19500, 2024 | | 2024 |
