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08/08/2023
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation Control Systems
In recent years, the field of data-driven neural network-based machine l...
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06/07/2023
Unbalanced Optimal Transport for Unbalanced Word Alignment
Monolingual word alignment is crucial to model semantic interactions bet...
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05/19/2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Decentralized learning has recently been attracting increasing attention...
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01/20/2023
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
Human mobility estimation is crucial during the COVID-19 pandemic due to...
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12/26/2022
Robust computation of optimal transport by β-potential regularization
Optimal transport (OT) has become a widely used tool in the machine lear...
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11/15/2022
Will Large-scale Generative Models Corrupt Future Datasets?
Recently proposed large-scale text-to-image generative models such as DA...
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09/30/2022
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data
SGD with momentum acceleration is one of the key components for improvin...
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09/11/2022
Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip
Human-system interface is one of the key advanced design features applie...
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06/24/2022
Approximating 1-Wasserstein Distance with Trees
Wasserstein distance, which measures the discrepancy between distributio...
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06/22/2022
An Application of a Modified Beta Factor Method for the Analysis of Software Common Cause Failures
This paper presents an approach for modeling software common cause failu...
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05/24/2022
Application of Orthogonal Defect Classification for Software Reliability Analysis
The modernization of existing and new nuclear power plants with digital ...
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05/24/2022
Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA
In recent years, there has been considerable effort to modernize existin...
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10/06/2021
Sharp Learning Bounds for Contrastive Unsupervised Representation Learning
Contrastive unsupervised representation learning (CURL) encourages data ...
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01/28/2021
Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review
A nearly autonomous management and control (NAMAC) system is designed to...
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10/14/2020
Robust covariance estimation for distributed principal component analysis
Principal component analysis (PCA) is a well-known tool for dimension re...
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06/11/2020
Similarity-based Classification: Connecting Similarity Learning to Binary Classification
In real-world classification problems, pairwise supervision (i.e., a pai...
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05/28/2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Adversarially robust classification seeks a classifier that is insensiti...
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05/07/2020
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data
Multiphase flow phenomena have been widely observed in the industrial ap...
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02/03/2020
Learning from Noisy Similar and Dissimilar Data
With the widespread use of machine learning for classification, it becom...
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01/06/2020
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation
Current system thermal-hydraulic codes have limited credibility in simul...
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11/07/2019
Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae
Segmentation of objects with various sizes is relatively less explored i...
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10/17/2019
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
To realize efficient computational fluid dynamics (CFD) prediction of tw...
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07/03/2019
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
Throughout the world, breast cancer is one of the leading causes of fema...
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05/29/2019
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
Complex classification performance metrics such as the F_β-measure and J...
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04/26/2019
Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
Pairwise similarities and dissimilarities between data points might be e...
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01/27/2019
Imitation Learning from Imperfect Demonstration
Imitation learning (IL) aims to learn an optimal policy from demonstrati...
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09/11/2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised domain adaptation is the problem setting where data generat...
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02/12/2018