Bhavya Vasudeva

21 papers A* 2A 1Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge. CoRR Bhavya Vasudeva, Puneesh Deora, Alberto Bietti, Vatsal Sharan, Christos Thrampoulidis
2025	J	`jnl`	How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data. CoRR Bhavya Vasudeva, Puneesh Deora, Yize Zhao, Vatsal Sharan, Christos Thrampoulidis
2025	J	`jnl`	Implicit Bias and Fast Convergence Rates for Self-attention. Trans. Mach. Learn. Res. Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
2025	J	`jnl`	In-Context Occam's Razor: How Transformers Prefer Simpler Hypotheses on the Fly. CoRR Puneesh Deora, Bhavya Vasudeva, Tina Behnia, Christos Thrampoulidis
2025	J	`jnl`	Latent Concept Disentanglement in Transformer-based Language Models. CoRR Guanzhe Hong, Bhavya Vasudeva, Vatsal Sharan, Cyrus Rashtchian, Prabhakar Raghavan, Rina Panigrahy
2025	J	`jnl`	The Rich and the Simple: On the Implicit Bias of Adam and SGD. CoRR Bhavya Vasudeva, Jung Whan Lee, Vatsal Sharan, Mahdi Soltanolkotabi
2025	A*	`conf`	Transformers Learn Low Sensitivity Functions: Investigations and Implications. ICLR Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
2024	Misc	`conf`	Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis
2024	J	`jnl`	Implicit Bias and Fast Convergence Rates for Self-attention. CoRR Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
2024	J	`jnl`	Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness. Trans. Mach. Learn. Res. Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan
2024	J	`jnl`	Simplicity Bias of Transformers to Learn Low Sensitivity Functions. CoRR Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
2023	J	`jnl`	Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness. CoRR Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan
2022	A	`conf`	Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network. WACV Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan
2022	J	`jnl`	Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling. Biomed. Signal Process. Control. Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Lei Ding, Fei He, Yuan Yang
2021	A*	`conf`	LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. ICCV Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda
2021	J	`jnl`	LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. CoRR Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda
2020	—	`conf`	AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 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
2020	J	`jnl`	AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR 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
2020	J	`jnl`	Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction. CoRR Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan
2020	—	`conf`	Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CVPR Workshops Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan
2019	J	`jnl`	Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CoRR Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan