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20022025
most citedObservation of electron-antineutrino disappearance at Daya Bay

2.2k citations

Showing 2022 · cs.LGShow all

6 papers · 2 filters

cs.LG2022

A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements

Aser Abbas, Joseph P. Vantassel, Brady R. Cox +2

This paper presents a frequency-velocity convolutional neural network (CNN) for rapid, non-invasive 2D shear wave velocity (Vs) imaging of near-surface geo-materials. Operating in…

cs.LG202216 cited

Vertical GaN Diode BV Maximization through Rapid TCAD Simulation and ML-enabled Surrogate Model

Albert Lu, Jordan Marshall, Yifan Wang +3

In this paper, two methodologies are used to speed up the maximization of the breakdown volt-age (BV) of a vertical GaN diode that has a theoretical maximum BV of ~2100V. Firstly,…

cs.LG20224 cited

Framing Algorithmic Recourse for Anomaly Detection

Debanjan Datta, Feng Chen, Naren Ramakrishnan

The problem of algorithmic recourse has been explored for supervised machine learning models, to provide more interpretable, transparent and robust outcomes from decision support s…

cs.LG20222 cited

Surrogate Ensemble Forecasting for Dynamic Climate Impact Models

Julian Kuehnert, Deborah McGlynn, Sekou L. Remy +2

As acute climate change impacts weather and climate variability, there is increased demand for robust climate impact model predictions from which forecasts of the impacts can be de…

cs.LG202235 cited

Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores

Nikhil Muralidhar, Abdullah Zubair, Nathanael Weidler +2

The availability of wide-ranging third-party intellectual property (3PIP) cores enables integrated circuit (IC) designers to focus on designing high-level features in ASICs/SoCs. T…

cs.LG2022175 cited

A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes

Niket Sharma, Y. A. Liu

This study presents a broad perspective of hybrid process modeling and optimization combining the scientific knowledge and data analytics in bioprocessing and chemical engineering…