Kim Batselier
7 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (11)
β
The Questioner
π
Trend Setter
Conferences
AISTATS (4)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
block coordinate descent
(2)
tensor decomposition
(2)
low-rank approximation
(2)
kernel methods
(2)
kernel machine
(2)
polynomial feature
(1)
random fourier feature
(1)
inducing point
(1)
canonical polyadic decomposition
(1)
product kernel
(1)
tensor network
(1)
scalable learning
(1)
quantized feature
(1)
feature quantization
(1)
kernel approximation
(1)
approximation theory
(1)
fourier feature
(1)
Papers
Tensor Network-Constrained Kernel Machines as Gaussian Processes
AISTATS 2025
Tensor Network Based Feature Learning Model
AISTATS 2025
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Position: Tensor Networks are a Valuable Asset for Green AI
ICML 2024
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
ICLR 2023
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
NIPS 2021