| Aim 2020 challenge on learned image signal processing pipeline A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ... ECCV 2020 Workshops, 2020 | 64 | 2020 |
| Structure Preserving Compressive Sensing MRI Reconstruction Using Generative Adversarial Networks P Deora, B Vasudeva, S Bhattacharya, P Mohan Pradhan CVPR 2020 Workshops, 2020 | 46 | 2020 |
| Co-VeGAN: Complex-valued generative adversarial network for compressive sensing MR image reconstruction B Vasudeva, P Deora, S Bhattacharya, PM Pradhan arXiv preprint arXiv:2002.10523, WACV 2022, 2020 | 35* | 2020 |
| On the optimization and generalization of multi-head attention P Deora, R Ghaderi, H Taheri, C Thrampoulidis TMLR, 2023 | 32 | 2023 |
| Loop: Looking for optimal hard negative embeddings for deep metric learning B Vasudeva, P Deora, S Bhattacharya, U Pal, S Chanda ICCV 2021, 2021 | 23 | 2021 |
| Implicit bias and fast convergence rates for self-attention B Vasudeva, P Deora, C Thrampoulidis arXiv preprint arXiv:2402.05738, 2024 | 14 | 2024 |
| Efficient implementation of LMS adaptive filter‐based FECG extraction on an FPGA B Vasudeva, P Deora, PM Pradhan, S Dasgupta Healthcare Technology Letters 7 (5), 125-131, 2020 | 9 | 2020 |
| Simultaneously Concentrated PSWF-based Synchrosqueezing S-transform and its application to R peak detection in ECG signal N Singh, P Deora, PM Pradhan 2019 IEEE International Conference on Robot and Human Interactive …, 2019 | 2 | 2019 |
| Fast Test Error Rates for Gradient-Based Algorithms on Separable Data P Deora, B Vasudeva, V Sharan, C Thrampoulidis ICASSP 2024, 2024 | | 2024 |
| On the optimization and generalization of self-attention models: a stability and implicit bias perspective P Deora University of British Columbia, 2024 | | 2024 |
| On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study P Deora, C Thrampoulidis ICASSP 2023, 2023 | | 2023 |
Bhavya VasudevaUniversity of Southern CaliforniaAdresă de e-mail confirmată pe usc.edu
