Frederiek Wesel

According to our database, Frederiek Wesel authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices.

Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin

Trans. Mach. Learn. Res., 2024

A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition.

Frederiek Wesel, Kim Batselier

CoRR, 2024

Tensor Network-Constrained Kernel Machines as Gaussian Processes.

Frederiek Wesel, Kim Batselier

CoRR, 2024

Position: Tensor Networks are a Valuable Asset for Green AI.

Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine.

Seline J. S. de Rooij, Frederiek Wesel, Borbála Hunyadi

Proceedings of the 32nd European Signal Processing Conference, 2024

Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models.

Frederiek Wesel, Kim Batselier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data.

Frederiek Wesel, Kim Batselier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Towards Green AI with tensor networks - Sustainability and innovation enabled by efficient algorithms.

Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier

CoRR, 2022

2021

Large-Scale Learning with Fourier Features and Tensor Decompositions.

Frederiek Wesel, Kim Batselier

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021