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07/23/2022
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
Gravitational wave astronomy is a vibrant field that leverages both clas...
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03/09/2022
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning
As engineered systems grow in complexity, there is an increasing need fo...
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03/09/2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Achieving invariance to nuisance transformations is a fundamental challe...
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02/27/2022
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
As our ability to sense increases, we are experiencing a transition from...
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10/29/2021
Principal Component Pursuit for Pattern Identification in Environmental Mixtures
Environmental health researchers often aim to identify sources/behaviors...
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06/17/2021
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
We propose a new framework – Square Root Principal Component Pursuit – f...
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04/08/2021
