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Bregman Neural Networks
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Learning under distribution shift using optimal transport
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers
Theoretical guarantees for bridging metric measure embedding and optimal transport
Physically-admissible polarimetric data augmentation for road-scene analysis
On the impact of normalization strategies in unsupervised adversarial domain adaptation for acoustic scene classification.
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
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