Scholar
Wannes Meert
Google Scholar ID: Q-saBpcAAAAJ
DTAI, KU Leuven
Artificial intelligence
machine learning
probabilistic graphical models
statistical relational AI
anomaly detection
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
5,069
H-index
35
i10-index
66
Publications
20
Co-authors
69
list available
Contact
No contact links provided.
Publications
8 items
AIA: A 16nm Multicore SoC for Approximate Inference Acceleration Exploiting Non-normalized Knuth-Yao Sampling and Inter-Core Register Sharing
2026
Cited
0
AIA: A Customized Multi-core RISC-V SoC for Discrete Sampling Workloads in 16 nm
2026
Cited
0
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions
2026
Cited
0
Tailored Transformation Invariance for Industrial Anomaly Detection
2025
Cited
0
MC$^2$A: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration
2025
Cited
0
Warping and Matching Subsequences Between Time Series
2025
Cited
0
dtaianomaly: A Python library for time series anomaly detection
2025
Cited
0
Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
2025
Cited
0
Resume (English only)
Co-authors
69 total
Jesse Davis
Professor, Department of Computer Science, KU Leuven
Marian Verhelst
Micas - ESAT - KU Leuven, Belgium
Guy Van den Broeck
Professor and Samueli Fellow, UCLA
Hendrik Blockeel
Department of Computer Science, KU Leuven
Luc De Raedt
professor, KU Leuven & guestprofessor, Örebro University
Co-author 6
Sofie Pollin
Professor Electrical Engineering, KU Leuven
Co-author 8
