| 2023 | ICASSP | Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction. | Arjun Gupta, Pablo Hoffmann, Sebastian Prepelita, Philip W. Robinson, Vamsi K. Ithapu, David L. Alon |
| 2022 | ICASSP | Continual Self-Training With Bootstrapped Remixing For Speech Enhancement. | Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar |
| 2020 | ICML | A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition. | Anurag Kumar, Vamsi K. Ithapu |
| 2017 | CVPR | Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization. | Vamsi K. Ithapu |
| 2017 | CVPR | The Incremental Multiresolution Matrix Factorization Algorithm. | Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh |
| 2017 | ICML | When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. | Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh |
| 2016 | ICML | Experimental Design on a Budget for Sparse Linear Models and Applications. | Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. | Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | An NMF Perspective on Binary Hashing. | Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh |
| 2014 | MICCAI | Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. | Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson |
| 2013 | ICCV | GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. | Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh |