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Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Researchby Tobias Hille, Maximilian…
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximationby Hannes Waclawek, Stefan HuberFirst submitted to arxiv…
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Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospectsby Na Li, Chunyi Zhou, Yansong Gao, Hui…
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Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopyby Eleni D. Koronaki, Luise F. Kaven,…
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Modelsby…
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Predictionby Mohamed Elrefaie, Angela Dai,…
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