Jan David Hüwel

16 papers A* 1B 6C 1Misc 1Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2026 B conf
Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation.
IDA
Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann
2024 B conf
Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering.
IEEE Big Data
Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024 B conf
Discovering Structural Regularities in Time Series via Gaussian Processes.
DSAA
Jan David Hüwel, Christian Beecks
2024 B conf
Frequent Component Analysis for Large Time Series Databases with Gaussian Processes.
EDBT
Jan David Hüwel, Christian Beecks
2024 B conf
Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series.
SISAP
Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024 J jnl
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes.
CoRR
Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
2023 — conf
Gaussian Process Component Mining with the Apriori Algorithm.
DEXA (2)
Jan David Hüwel, Christian Beecks
2022 C conf
A Comparative Performance Analysis of Fast K-Means Clustering Algorithms.
iiWAS
Christian Beecks, Fabian Berns, Jan David Hüwel, Andrea Linxen, Georg Stefan Schlake, Tim Düsterhus
2022 — conf
Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets.
DEXA (2)
Jan David Hüwel, Anne Gresch, Tim Berger, Martina Düfer, Christian Beecks
2022 J jnl
Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms.
SN Comput. Sci.
Fabian Berns, Jan David Hüwel, Christian Beecks
2022 Misc conf
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling.
KI
Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks
2022 — conf
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification.
ICDE Workshops
Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks
2022 B conf
Tracing Patterns in Electrophysiological Time Series Data.
DSAA
Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks
2021 — conf
Automated Kernel Search for Gaussian Processes on Data Streams.
IEEE BigData
Jan David Hüwel, Fabian Berns, Christian Beecks
2021 A* conf
LOGIC: Probabilistic Machine Learning for Time Series Classification.
ICDM
Fabian Berns, Jan David Hüwel, Christian Beecks
2021 — conf
On Kernel Search Based Gaussian Process Anomaly Detection.
IN4PL (Revised Selected Papers)
Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks