Frederiek Wesel

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AISTATS (3) ICML (1) NeurIPS (1)

Top co-authors

Kim Batselier (5) Jetze Schuurmans (1) Clara Menzen (1) Eva Memmel (1)

Research topics

Machine Learning (5) Core Methods (4) Mathematics & Optimization (3) Optimization (3) Deep Learning (2) Application Areas (2) Optimization & Theory · Machine Learning (2) Architectures (1) Bayesian & Probabilistic (1) Optimization & Theory · Deep Learning (1)

Keywords

kernel machine (4) tensor network (3) tensor decomposition (2) canonical polyadic decomposition (2) block coordinate descent (2) kernel methods (2) low-rank approximation (2) fourier feature (1) polynomial feature (1) random fourier feature (1) inducing point (1) product kernel (1) green ai (1) tensor train (1) logarithmic compression (1) efficiency metric (1) feature learning (1) quantized feature (1) scalable learning (1) feature quantization (1)

Papers

Tensor Network-Constrained Kernel Machines as Gaussian Processes AISTATS 2025 Position: Tensor Networks are a Valuable Asset for Green AI ICML 2024 Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021