Deora, Puneesh

8 publications

ICLRW 2025 Can Transformers Learn Tasks of Varying Complexity In-Context? Puneesh Deora, Bhavya Vasudeva, Tina Behnia, Christos Thrampoulidis

TMLR 2025 Implicit Bias and Fast Convergence Rates for Self-Attention Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis

TMLR 2024 On the Optimization and Generalization of Multi-Head Attention Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis

WACV 2022 Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan

NeurIPSW 2021 GradML: A Gradient-Based Loss for Deep Metric Learning Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda

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

ECCVW 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

CVPRW 2020 Structure Preserving Compressive Sensing MRI Reconstruction Using Generative Adversarial Networks Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan