Batselier, Kim

7 publications

AISTATS 2025 Tensor Network Based Feature Learning Model Albert Saiapin, Kim Batselier

AISTATS 2025 Tensor Network-Constrained Kernel Machines as Gaussian Processes Frederiek Wesel, Kim Batselier

ICML 2024 Position: Tensor Networks Are a Valuable Asset for Green AI Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier

AISTATS 2024 Quantized Fourier and Polynomial Features for More Expressive Tensor Network Models Frederiek Wesel, Kim Batselier

ICLR 2023 How Informative Is the Approximation Error from Tensor Decomposition for Neural Network Compression? Jetze Schuurmans, Kim Batselier, Julian Kooij

AISTATS 2023 Tensor-Based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data Frederiek Wesel, Kim Batselier

NeurIPS 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions Frederiek Wesel, Kim Batselier