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Conferences               Journals               Abstracts               Other Articles
On Arxiv

RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing,
E. Tzinis, Y. Adi, V. K. Ithapu, B. Xu, P. Smaragdis, A. Kumar


EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
J. Donley, V. Tourbabin, J. Lee, M. Broyles, H. Jiang, J. Shen, M. Pantic, V. K. Ithapu, R. Mehra

Dataset Link -

On Architectural Choices in Deep Learning: From Network Structure to Gradient Convergence and Parameter Estimation,

V. K. Ithapu, S. Ravi, V. Singh

Convergence of Gradient based Pre-training in Denoising Autoencoders,
V. K. Ithapu, S. Ravi, V. Singh
Book Chapters

Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease,
V. K. Ithapu, V. Singh, S. C. Johnson,
Deep Learning for Medical Image Analysis (1st Edition) ISBN: 9780128104088; Chapter 15
Doctoral Thesis
Exploiting Structure for Designing Clinical Trials: Testing, Learning and Inference Algorithms
Department of Computer Sciences, UW-Madison
PhD Advisor: Vikas Singh
Other committee members: Sterling C Johnson, Xiaojin Zhu, Charles Dyer, Mohit Gupta 
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