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Found 4 papers, 1 papers with code
GemNet: Universal Directional Graph Neural Networks for Molecules
Effectively predicting molecular interactions has the potential to accelerate molecular dynamics by multiple orders of magnitude and thus revolutionize chemical simulations.
Solving QVIs for Image Restoration with Adaptive Constraint Sets
In the present paper we prove uniqueness for a larger class of problems and in particular independent of the image size.
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Low-rank data approximation methods such as matrix (e. g., non-negative matrix factorization) and tensor decompositions (e. g., CANDECOMP/PARAFAC) have demonstrated that they can provide such transparent and interpretable insights.
A Modular and Adaptive System for Business Email Compromise Detection
The growing sophistication of Business Email Compromise (BEC) and spear phishing attacks poses significant challenges to organizations worldwide.
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