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07/20/2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Comparing the functional behavior of neural network models, whether it i...
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04/29/2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Explainable deep learning models are advantageous in many situations. Pr...
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04/13/2021
Simpler Certified Radius Maximization by Propagating Covariances
One strategy for adversarially training a robust model is to maximize it...
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12/18/2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Many measurements or observations in computer vision and machine learnin...
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03/19/2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Automated anatomical labeling plays a vital role in coronary artery dise...
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10/05/2019
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data
Efforts are underway to study ways via which the power of deep neural ne...
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05/29/2018