Machine learning (ML) models can underperform on certain population grou...
A recent trend in deep learning research features the application of gra...
There is a critical need for efficient and reliable active flow control
...
Using convolutional neural networks, deep learning-based reduced-order m...
We present a short and elementary proof of the duality for Wasserstein
d...
The challenges to solving the collision avoidance problem lie in adaptiv...
The major challenges of collision avoidance for robot navigation in crow...
Considering the increasing concerns about data copyright and privacy iss...
Structured Light Illumination (SLI) systems have been used for reliable
...
We study distributionally robust optimization with Sinkorn distance – a
...
We consider a data-driven robust hypothesis test where the optimal test ...
This paper is concerned with regularized extensions of hierarchical
non-...
We develop a kernel projected Wasserstein distance for the two-sample te...
Understanding the generalization capability of learning algorithms is at...
Deep segmentation models that generalize to images with unknown appearan...
In a sequential decision-making problem, off-policy evaluation (OPE)
est...
We develop a projected Wasserstein distance for the two-sample test, a
f...
Ultrasound (US) image segmentation embraced its significant improvement ...
Wasserstein distributionally robust optimization (DRO) aims to find robu...
We address the problem of autonomous tracking and state estimation for m...
Learning a robust classifier from a few samples remains a key challenge ...
In this letter, we propose a class of efficient, accurate and general me...
Deep Neural Networks (DNNs) suffer from the performance degradation when...
Deep generative models are generally categorized into explicit models an...
In this paper, we propose a new framework for solving state estimation
p...
We develop a novel computationally efficient and general framework for r...
A central question in statistical learning is to design algorithms that ...
We address the multi-focus image fusion problem, where multiple images
c...
Subjective Well-being(SWB), which refers to how people experience the qu...