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Bhavya Vasudeva
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2020 – today
- 2024
- [c5]Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis:
Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP 2024: 7440-7444 - [i7]Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis:
Implicit Bias and Fast Convergence Rates for Self-attention. CoRR abs/2402.05738 (2024) - [i6]Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan:
Simplicity Bias of Transformers to Learn Low Sensitivity Functions. CoRR abs/2403.06925 (2024) - 2023
- [i5]Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan:
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness. CoRR abs/2310.06161 (2023) - 2022
- [j1]Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Lei Ding, Fei He
, Yuan Yang
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling. Biomed. Signal Process. Control. 74: 103492 (2022) - [c4]Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan:
Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network. WACV 2022: 1779-1788 - 2021
- [c3]Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda:
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. ICCV 2021: 10614-10623 - [i4]Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda:
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. CoRR abs/2108.09335 (2021) - 2020
- [c2]Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CVPR Workshops 2020: 2211-2219 - [c1]Andrey Ignatov, Radu Timofte
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170 - [i3]Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan:
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction. CoRR abs/2002.10523 (2020) - [i2]Andrey Ignatov, Radu Timofte, Zhilu Zhang
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020)
2010 – 2019
- 2019
- [i1]Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CoRR abs/1910.06067 (2019)
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