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Puneesh Deora
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2020 – today
- 2024
- [j1]Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis:
On the Optimization and Generalization of Multi-head Attention. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis:
Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP 2024: 7440-7444 - [i6]Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis:
Implicit Bias and Fast Convergence Rates for Self-attention. CoRR abs/2402.05738 (2024) - 2023
- [c6]Puneesh Deora, Christos Thrampoulidis:
On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study. ICASSP 2023: 1-5 - [i5]Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis:
On the Optimization and Generalization of Multi-head Attention. CoRR abs/2310.12680 (2023) - 2022
- [c5]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
- [c4]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
- [c3]Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CVPR Workshops 2020: 2211-2219 - [c2]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:
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, 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:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020)
2010 – 2019
- 2019
- [c1]Neha Singh, Puneesh Deora, Pyari Mohan Pradhan:
Simultaneously Concentrated PSWF-based Synchrosqueezing S-transform and its application to R peak detection in ECG signal. RO-MAN 2019: 1-6 - [i1]Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan:
Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks. CoRR abs/1910.06067 (2019)
Coauthor Index
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last updated on 2024-10-31 21:07 CET by the dblp team
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