Vamsi K. Ithapu

28 papers A* 7Misc 2Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2023 Misc conf
Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction.
ICASSP
Arjun Gupta, Pablo Hoffmann, Sebastian Prepelita, Philip W. Robinson, Vamsi K. Ithapu, David L. Alon
2022 Misc conf
Continual Self-Training With Bootstrapped Remixing For Speech Enhancement.
ICASSP
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar
2022 J jnl
RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing.
IEEE J. Sel. Top. Signal Process.
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar
2022 J jnl
SAQAM: Spatial Audio Quality Assessment Metric.
CoRR
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
2021 J jnl
Continual self-training with bootstrapped remixing for speech enhancement.
CoRR
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar
2021 — conf
DPLM: A Deep Perceptual Spatial-Audio Localization Metric.
WASPAA
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
2021 J jnl
DPLM: A Deep Perceptual Spatial-Audio Localization Metric.
CoRR
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
2020 A* conf
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition.
ICML
Anurag Kumar, Vamsi K. Ithapu
2017 J jnl
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM.
CoRR
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017 J jnl
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM.
NeuroImage
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017 — conf
Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization.
CVPR Workshops
Vamsi K. Ithapu
2017 J jnl
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation.
CoRR
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2017 — ch.
Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease.
Deep Learning for Medical Image Analysis
Vamsi K. Ithapu, Vikas Singh, Sterling C. Johnson
2017 A* conf
The Incremental Multiresolution Matrix Factorization Algorithm.
CVPR
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017 J jnl
The Incremental Multiresolution Matrix Factorization Algorithm.
CoRR
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017 A* conf
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications.
ICML
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh
2016 A* conf
Experimental Design on a Budget for Sparse Linear Models and Applications.
ICML
Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh
2016 — conf
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease.
NIPS
Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson
2016 — conf
On the interplay of network structure and gradient convergence in deep learning.
Allerton
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015 A* conf
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
ICCV
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2015 A* conf
An NMF Perspective on Binary Hashing.
ICCV
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
2015 J jnl
Convergence of gradient based pre-training in Denoising autoencoders.
CoRR
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015 J jnl
On the interplay of network structure and gradient convergence in deep learning.
CoRR
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015 J jnl
Speeding up Permutation Testing in Neuroimaging.
CoRR
Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2014 — conf
Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials.
MICCAI (2)
Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson
2013 A* conf
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity.
ICCV
Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
2013 — conf
Speeding up Permutation Testing in Neuroimaging.
NIPS
Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2010 — conf
Fundus image registration for vestibularis research.
Computer-Aided Diagnosis
Vamsi K. Ithapu, Armin Fritsche, Ariane Oppelt, Martin Westhofen, Thomas M. Deserno