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05/13/2023
Quantization in Spiking Neural Networks
In spiking neural networks (SNN), at each node, an incoming sequence of ...
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05/09/2023
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds
In order to ease the analysis of error propagation in neuromorphic compu...
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05/02/2023
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
We study the problem of choosing algorithm hyper-parameters in unsupervi...
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07/06/2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis
Data augmentation techniques have become standard practice in deep learn...
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02/19/2020
Learning Bounds for Moment-Based Domain Adaptation
Domain adaptation algorithms are designed to minimize the misclassificat...
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06/22/2018
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
Diagnosis and risk stratification of cancer and many other diseases requ...
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11/16/2017