Pulkit Grover
Computer Networks and Communications · 2010–2018
A researcher in the Science corpus: 8 papers; trusts 40 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 83 citations into it; #2,273 of 9,886 by trust here, #2,136 by citations
- Artificial Intelligence — 59 citations into it; #8,425 of 35,345 by trust here, #13,163 by citations
- Electrical and Electronic Engineering — 30 citations into it; #1,723 of 16,539 by trust here, #6,008 by citations
- Computational Mechanics — 27 citations into it; #1,960 of 10,001 by trust here, #2,715 by citations
- ML Systems & Hardware — 24 citations into it; #100 of 575 by trust here, #334 by citations
- Information Systems — 21 citations into it
- Optimization & Training — 21 citations into it
- Computational Theory and Mathematics — 11 citations into it
Whom Pulkit Grover trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Varshney
- Sanghamitra Dutta
- Kangwook Lee
- Gauri Joshi
- Y. Saad
- Taher H. Haveliwala
- Da Wang
- Rashish Tandon
- Yann LeCun
- Michael C. Gastpar
Who trusts Pulkit Grover overall
- Rui Zhang
- Xun Zhou
- Zhiguo Ding
- Derrick Wing Kwan Ng
- Sanghamitra Dutta
- Chin Keong Ho
- Kaibin Huang
- Liang Liu
- Bruno Clerckx
- Deepesh Data
Papers from Pulkit Grover's perspective
Ordered by how strongly the researchers Pulkit Grover trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Shannon meets Tesla: Wireless information and power transfer (2010) — 1,067 citations
- Energy Harvesting Wireless Communications: A Review of Recent Advances (2015) — 856 citations
- Cross-Iteration Coded Computing (2018) — 15 citations
- A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes (2018) — 116 citations
- “Short-Dot”: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products (2017) — 395 citations
- On the optimal recovery threshold of coded matrix multiplication (2017) — 318 citations
- Coded convolution for parallel and distributed computing within a deadline (2017) — 147 citations
- Coded Distributed Computing for Inverse Problems (2017) — 68 citations