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About LAMARR
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9
Publications
( Page 2 )
Publications
Curvature-based Pooling within Graph Neural Networks
C. Sanders, A. Roth, T. Liebig,
2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
A. Roth, T. Liebig,
2023
Theoretical and Practical Aspects of Finite Closure Systems for Mining and Learning
F. Seiffarth,
2023
Segmentation Distortion: Quantifying Segmentation Uncertainty Under Domain Shift via the Effects of Anomalous Activations
J. Lennartz, T. Schultz,
2023
Detection and Visual Analysis of Pathological Abnormalities in Diffusion Tensor Imaging with an Anomaly Lens
M. Bareth, S. Groeschel, J. Gruen, P. Pretzel, T. Schultz, Thomas,
2023
Requirements for Generating Learning Environments for Autonomous Systems Behavior in a Digital Continuum
A. Murrenhoff,
2023
Foundation Models for Natural Language Processing
G. Paaß, S. Giesselbach,
2023
Online Deep Hybrid Ensemble Learning for Time Series Forecasting
A. Saadallah, M. Jakobs,
2023
Online adaptive bagging for multivariate time series forecasting
A. Saadallah, H. Mykula,
2023
Online Explainable Model Selection for Time Series Forecasting
A. Saadallah,
2023
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