Bhavya Vasudeva

According to our database, Bhavya Vasudeva authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simplicity Bias of Transformers to Learn Low Sensitivity Functions.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

CoRR, 2024

Implicit Bias and Fast Convergence Rates for Self-attention.

Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis

CoRR, 2024

Fast Test Error Rates for Gradient-Based Algorithms on Separable Data.

Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness.

Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan

CoRR, 2023

2022

Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling.

Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Lei Ding, Fei He, Yuan Yang

Biomed. Signal Process. Control., 2022

Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network.

Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning.

Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

CoRR, 2020

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction.

Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan

CoRR, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks.

Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks.

Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan

CoRR, 2019