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06/14/2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Source-free unsupervised domain adaptation (SFUDA) aims to obtain high p...
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11/30/2021
Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions
There are several challenges associated with inverse problems in which w...
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11/23/2021
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
Estimation of riverbed profiles, also known as bathymetry, plays a vital...
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11/23/2021
Deep learning-based fast solver of the shallow water equations
Fast and reliable prediction of river flow velocities is important in ma...
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09/10/2021
6MapNet: Representing soccer players from tracking data by a triplet network
Although the values of individual soccer players have become astronomica...
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05/27/2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
This work is the first to employ and adapt the image-to-image translatio...
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01/17/2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Several data augmentation methods deploy unlabeled-in-distribution (UID)...
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12/04/2020
Application of deep learning to large scale riverine flow velocity estimation
Fast and reliable prediction of riverine flow velocities is important in...
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11/13/2020
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
The earth texture with complex morphological geometry and compositions s...
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08/20/2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
We propose an interpretable Capsule Network, iCaps, for image classifica...
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06/18/2020
Joint Contrastive Learning for Unsupervised Domain Adaptation
Enhancing feature transferability by matching marginal distributions has...
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03/06/2019
PBBFMM3D: a parallel black-box algorithm for kernel matrix-vector multiplication
We introduce PBBFMM3D, a parallel black-box method for computing kernel ...
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03/06/2019