Abhisek Kundu

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Papers (10)

1. A Study of BFLOAT16 for Deep Learning Training cs.LG · 2019 · author #16
2. Ternary Residual Networks cs.IT · 2017 · author #1
3. Ternary Neural Networks with Fine-Grained Quantization cs.LG · 2017 · author #2
4. Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point cs.LG · 2017 · author #2
5. A Randomized Rounding Algorithm for Sparse PCA cs.DS · 2015 · author #2
6. Relaxed Leverage Sampling for Low-rank Matrix Completion cs.IT · 2015 · author #1
7. Approximating Sparse PCA from Incomplete Data cs.LG · 2015 · author #1
8. Recovering PCA from Hybrid-$(\ell_1,\ell_2)$ Sparse Sampling of Data Elements cs.IT · 2015 · author #1
9. A Note on Randomized Element-wise Matrix Sparsification cs.IT · 2014 · author #1
10. Identifying Influential Entries in a Matrix cs.NA · 2013 · author #1

Mentions

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Frequent Coauthors

• Petros Drineas 5 shared papers
• Bharat Kaul 4 shared papers
• Dheevatsa Mudigere 4 shared papers
• Dipankar Das 4 shared papers
• Naveen Mellempudi 4 shared papers
• Pradeep Dubey 3 shared papers
• Kunal Banerjee 2 shared papers
• Malik Magdon-Ismail 2 shared papers
• Alexander Heinecke 1 shared papers
• Dharma Teja Vooturi 1 shared papers
• Dhiraj Kalamkar 1 shared papers
• Eugenia-Maria Kontopoulou 1 shared papers
• Evangelos Georganas 1 shared papers
• Hector Yuen 1 shared papers
• Jianyu Huang 1 shared papers
• Jiyan Yang 1 shared papers
• Jongsoo Park 1 shared papers
• Kimon Fountoulakis 1 shared papers
• Misha Smelyanskiy 1 shared papers
• Nataraj Jammalamadaka 1 shared papers