Kim Batselier
7 papers · 2021–2025 · 4 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
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Keyword Champion (3)
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Deep Learning
(3)
Application Areas
(2)
Optimization & Theory Β· Machine Learning
(2)
Artificial Intelligence
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Optimization & Theory Β· Deep Learning
(1)
Techniques
(1)
Keywords
kernel machine
(4)
tensor network
(4)
canonical polyadic decomposition
(3)
kernel methods
(3)
tensor decomposition
(3)
block coordinate descent
(2)
low-rank approximation
(2)
feature learning
(2)
approximation theory
(1)
fourier feature
(1)
alternating least square
(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)
quantized feature
(1)
Papers
Tensor Network Based Feature Learning Model
AISTATS 2025
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
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
NeurIPS 2021