Vamsi K. Ithapu

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 18

Top Topics

Hypothesis Test

Speech Enhancement

Top Venues

Publications

Arjun Gupta, Pablo Hoffmann, Sebastian Prepelita, Philip W. Robinson, Vamsi K. Ithapu, David L. Alon
Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction. ICASSP (2023)
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar
Continual Self-Training With Bootstrapped Remixing For Speech Enhancement. ICASSP (2022)
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar
RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
SAQAM: Spatial Audio Quality Assessment Metric. CoRR (2022)
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
DPLM: A Deep Perceptual Spatial-Audio Localization Metric. CoRR (2021)
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar
Continual self-training with bootstrapped remixing for speech enhancement. CoRR (2021)
Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
DPLM: A Deep Perceptual Spatial-Audio Localization Metric. WASPAA (2021)
Anurag Kumar, Vamsi K. Ithapu
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition. ICML (2020)
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM. CoRR (2017)
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. ICML (2017)
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. NeuroImage 159 (2017)
Vamsi K. Ithapu
Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization. CVPR Workshops (2017)
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
The Incremental Multiresolution Matrix Factorization Algorithm. CVPR (2017)
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation. CoRR (2017)
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
The Incremental Multiresolution Matrix Factorization Algorithm. CoRR (2017)
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
On the interplay of network structure and gradient convergence in deep learning. Allerton (2016)
Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh
Experimental Design on a Budget for Sparse Linear Models and Applications. ICML (2016)
Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. NIPS (2016)
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
An NMF Perspective on Binary Hashing. ICCV (2015)
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV (2015)
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
On the interplay of network structure and gradient convergence in deep learning. CoRR (2015)
Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
Convergence of gradient based pre-training in Denoising autoencoders. CoRR (2015)
Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
Speeding up Permutation Testing in Neuroimaging. CoRR (2015)
Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson
Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. MICCAI (2) (2014)
Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
Speeding up Permutation Testing in Neuroimaging. NIPS (2013)
Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV (2013)
Vamsi K. Ithapu, Armin Fritsche, Ariane Oppelt, Martin Westhofen, Thomas M. Deserno
Fundus image registration for vestibularis research. Medical Imaging: Computer-Aided Diagnosis (2010)