| Deep unlearning via randomized conditionally independent hessians R Mehta, S Pal, V Singh, SN Ravi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 77 | 2022 |
| Dual-glow: Conditional flow-based generative model for modality transfer H Sun, R Mehta, HH Zhou, Z Huang, SC Johnson, V Prabhakaran, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 45 | 2019 |
| Resource constrained neural network architecture search: Will a submodularity assumption help? Y Xiong, R Mehta, V Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 44 | 2019 |
| Efficient Discrete Multi-Marginal Optimal Transport Regularization R Mehta, J Kline, VS Lokhande, G Fung, V Singh International Conference on Learning Representations 2023, 2023 | 8 | 2023 |
| Sampling-free uncertainty estimation in gated recurrent units with applications to normative modeling in neuroimaging SJ Hwang, RR Mehta, HJ Kim, SC Johnson, V Singh Uncertainty in Artificial Intelligence, 809-819, 2020 | 8 | 2020 |
| Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks J Nazarovs, RR Mehta, VS Lokhande, V Singh Uncertainty in Artificial Intelligence, 118-128, 2021 | 6 | 2021 |
| On training deep 3d cnn models with dependent samples in neuroimaging Y Xiong, HJ Kim, B Tangirala, R Mehta, SC Johnson, V Singh Information Processing in Medical Imaging: 26th International Conference …, 2019 | 5 | 2019 |
| Scaling recurrent models via orthogonal approximations in tensor trains R Mehta, R Chakraborty, Y Xiong, V Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 4 | 2019 |
| Localizing differentially evolving covariance structures via scan statistics R Mehta, HJ Kim, S Wang, SC Johnson, M Yuan, V Singh Quarterly of applied mathematics 77 (2), 357, 2019 | 3 | 2019 |
| Robust blind deconvolution via mirror descent SN Ravi, R Mehta, V Singh arXiv preprint arXiv:1803.08137, 2018 | 3 | 2018 |
| Sampling-free uncertainty estimation in gated recurrent units with exponential families SJ Hwang, R Mehta, HJ Kim, V Singh arXiv preprint arXiv:1804.07351, 2018 | 2 | 2018 |
| Identifying Feature, Parameter, and Sample Subsets in Machine Learning and Image Analysis R Mehta The University of Wisconsin-Madison, 2023 | 1 | 2023 |
| The Benefits of Balance: From Information Projections to Variance Reduction L Liu, R Mehta, S Pal, Z Harchaoui arXiv preprint arXiv:2408.15065, 2024 | | 2024 |
| A Primal-Dual Algorithm for Faster Distributionally Robust Optimization R Mehta, J Diakonikolas, Z Harchaoui arXiv preprint arXiv:2403.10763, 2024 | | 2024 |
| Dual flow generative computer architecture H Sun, RR Mehta, H Zhou, V Singh, V Prabhakaran, SC Johnson US Patent 11,544,607, 2023 | | 2023 |
| Neural network architecture with concurrent uncertainty output SJ Hwang, RR Mehta, V Singh US Patent 11,537,846, 2022 | | 2022 |
| Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics A Sinha, R Mehta, V Nair, R Birn, V Singh, V Prabhakaran 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | | 2022 |
| A Normative Modeling Based Analysis of Amyloid, Cognition, and Tau in Preclinical Alzheimer’s Disease Z Tao, RR Mehta, SJ Hwang, R Koscik, E Jonaitis, SC Johnson, V Singh Alzheimer's & Dementia 15 (7), P1290-P1291, 2019 | | 2019 |
