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On the Versatile Uses of Partial Distance Correlation in Deep Learning.

, , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 327-346. Springer, (2022)

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Variational Sampling of Temporal Trajectories., , , , , and . CoRR, (2024)A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices., , , , , , , and . NeurIPS, page 8897-8908. (2018)On the Versatile Uses of Partial Distance Correlation in Deep Learning., , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 327-346. Springer, (2022)Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data., , , , and . ICCV, page 10620-10630. IEEE, (2019)Flow-based Generative Models for Learning Manifold to Manifold Mappings., , , and . AAAI, page 11042-11052. AAAI Press, (2021)Flow-based Generative Models for Learning Manifold to Manifold Mappings., , , and . CoRR, (2020)A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations., , , and . CoRR, (2021)Simpler Certified Radius Maximization by Propagating Covariances., , and . CVPR, page 7292-7301. Computer Vision Foundation / IEEE, (2021)CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries., , , , and . CVPR, page 3802-3810. Computer Vision Foundation / IEEE, (2020)