Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. - Puneesh Deora; Bhavya Vasudeva; Saumik Bhattacharya; Pyari Mohan Pradhan (CoRR, 2019)

Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. - Puneesh Deora; Bhavya Vasudeva; Saumik Bhattacharya; Pyari Mohan Pradhan (CVPR Workshops, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 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 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. - Bhavya Vasudeva; Puneesh Deora; Saumik Bhattacharya; Umapada Pal 001; Sukalpa Chanda (ICCV, 2021)

Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network. - Bhavya Vasudeva; Puneesh Deora; Saumik Bhattacharya; Pyari Mohan Pradhan (WACV, 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 002; Yuan Yang 002 (Biomed. Signal Process. Control., 2022)

Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. - Puneesh Deora; Bhavya Vasudeva; Vatsal Sharan; Christos Thrampoulidis (ICASSP, 2024)

Simplicity Bias of Transformers to Learn Low Sensitivity Functions. - Bhavya Vasudeva; Deqing Fu; Tianyi Zhou 011; Elliott Kau; Youqi Huang; Vatsal Sharan (CoRR, 2024)

Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness. - Bhavya Vasudeva; Kameron Shahabi; Vatsal Sharan (Trans. Mach. Learn. Res., 2024)

Transformers Learn Low Sensitivity Functions: Investigations and Implications. - Bhavya Vasudeva; Deqing Fu; Tianyi Zhou 011; Elliott Kau; Youqi Huang; Vatsal Sharan (ICLR, 2025)

Implicit Bias and Fast Convergence Rates for Self-attention. - Bhavya Vasudeva; Puneesh Deora; Christos Thrampoulidis (Trans. Mach. Learn. Res., 2025)

The Rich and the Simple: On the Implicit Bias of Adam and SGD. - Bhavya Vasudeva; Jung Whan Lee; Vatsal Sharan; Mahdi Soltanolkotabi (CoRR, 2025)

Latent Concept Disentanglement in Transformer-based Language Models. - Guanzhe Hong; Bhavya Vasudeva; Vatsal Sharan; Cyrus Rashtchian; Prabhakar Raghavan; Rina Panigrahy (CoRR, 2025)

In-Context Occam's Razor: How Transformers Prefer Simpler Hypotheses on the Fly. - Puneesh Deora; Bhavya Vasudeva; Tina Behnia; Christos Thrampoulidis (CoRR, 2025)