Mathias Verbeke
7 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
causal inference
(1)
representation learning
(1)
time series clustering
(1)
uncertainty quantification
(1)
time series anomaly detection
(1)
self-supervised learning
(1)
interactive systems
(1)
dynamical system
(1)
joint embedding predictive architecture
(1)
aggregation function
(1)
koopman operator
(1)
algorithm evaluation
(1)
graphical causal model
(1)
anomaly detection algorithm
(1)
heterogeneous-indexed data
(1)
Papers
Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data
CLeaR 2026
InTimeAD: Interactive Time Series Anomaly Detection
AAAI 2026
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures
AAAI 2026
Inducing Probabilistic Relational Rules from Probabilistic Examples
IJCAI 2015
kLogNLP: Graph Kernel–based Relational Learning of Natural Language
ACL 2014
KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context
SemEval 2014
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
EMNLP 2012