top of page
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
PDF

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
PDF
Dataset Link - https://github.com/facebookresearch/EasyComDataset

On Architectural Choices in Deep Learning: From Network Structure to Gradient Convergence and Parameter Estimation,
V. K. Ithapu, S. Ravi, V. Singh
PDF

Convergence of Gradient based Pre-training in Denoising Autoencoders,
V. K. Ithapu, S. Ravi, V. Singh
PDF
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
LINK 
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 
LINK
bottom of page