Frederiek Wesel

Joined

May 2021

Names

Frederiek Wesel (Preferred)

Emails

****@tudelft.nl (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

Delft Center for Systems and Control, Delft University of Technology (tudelft.nl)

2020 – 2025

MS student

Delft University of Technology (tudelft.nl)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

kim batselier

2020 – 2025

Expertise

No areas of expertise listed

Publications

Tensor Network-Constrained Kernel Machines as Gaussian Processes
Frederiek Wesel, kim batselier
- AISTATS 2025 Poster
- Readers: Everyone
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
Frederiek Wesel
- Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:1261-1269, 2024.
- Readers: Everyone
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin
- Accepted by TMLR
- Readers: Everyone
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, kim batselier
- ICML 2024 Poster
- Readers: Everyone
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
- Readers: Everyone
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data
Frederiek Wesel, kim batselier
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Towards Green AI with tensor networks - Sustainability and innovation enabled by efficient algorithms
Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel, kim batselier
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel, Kim Batselier
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel, Kim Batselier
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- NeurIPS 2021
- Readers: Everyone