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cs.LG2026
SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
Hamid Gadirov, Lennard Manuel, Steffen Frey
Analyzing and visualizing scientific ensemble datasets with high dimensionality and complexity poses significant challenges. Dimensionality reduction techniques and autoencoders ar…
cs.LG2026
TRACE: Reconstruction-Based Anomaly Detection in Ensemble and Time-Dependent Simulations
Hamid Gadirov, Martijn Westra, Steffen Frey
Detecting anomalies in high-dimensional, time-dependent simulation data is challenging due to complex spatial and temporal dynamics. We study reconstruction-based anomaly detection…
cs.LG2025
Machine Learning for Scientific Visualization: Ensemble Data Analysis
Hamid Gadirov
Scientific simulations and experimental measurements produce vast amounts of spatio-temporal data, yet extracting meaningful insights remains challenging due to high dimensionality…