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06/24/2022
SAQAM: Spatial Audio Quality Assessment Metric
Audio quality assessment is critical for assessing the perceptual realis...
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10/19/2021
Continual self-training with bootstrapped remixing for speech enhancement
We propose RemixIT, a simple and novel self-supervised training method f...
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05/29/2021
DPLM: A Deep Perceptual Spatial-Audio Localization Metric
Subjective evaluations are critical for assessing the perceptual realism...
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09/02/2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications
Many studies in biomedical and health sciences involve small sample size...
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05/16/2017
The Incremental Multiresolution Matrix Factorization Algorithm
Multiresolution analysis and matrix factorization are foundational tools...
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03/04/2017
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM
Permutation testing is a non-parametric method for obtaining the max nul...
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02/28/2017
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
We study mechanisms to characterize how the asymptotic convergence of ba...
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11/17/2015
On the interplay of network structure and gradient convergence in deep learning
The regularization and output consistency behavior of dropout and layer-...
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06/10/2015
Convergence rates for pretraining and dropout: Guiding learning parameters using network structure
Unsupervised pretraining and dropout have been well studied, especially ...
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02/12/2015
Convergence of gradient based pre-training in Denoising autoencoders
The success of deep architectures is at least in part attributed to the ...
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02/12/2015