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05/26/2023
Manifold Regularization for Memory-Efficient Training of Deep Neural Networks
One of the prevailing trends in the machine- and deep-learning community...
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04/03/2021
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
Deep generative frameworks including GANs and normalizing flow models ha...
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06/24/2020
Machine learning the real discriminant locus
Parameterized systems of polynomial equations arise in many applications...
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03/27/2020
MCFlow: Monte Carlo Flow Models for Data Imputation
We consider the topic of data imputation, a foundational task in machine...
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03/28/2019
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Myotonia, which refers to delayed muscle relaxation after contraction, i...
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10/27/2018
Towards Robust Deep Neural Networks
We examine the relationship between the energy landscape of neural netwo...
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04/06/2018
The Loss Surface of XOR Artificial Neural Networks
Training an artificial neural network involves an optimization process o...
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04/11/2017