Soummya Kar
Computer Networks and Communications · 2007–2019
A researcher in the Science corpus: 15 papers; trusts 101 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 174 citations into it; #575 of 9,886 by trust here, #563 by citations
- Artificial Intelligence — 93 citations into it; #18,298 of 35,345 by trust here, #11,624 by citations
- Optimization & Training — 42 citations into it
- Electrical and Electronic Engineering — 41 citations into it; #4,252 of 16,539 by trust here, #10,154 by citations
- Statistical and Nonlinear Physics — 33 citations into it
- Computational Mechanics — 27 citations into it; #8,404 of 10,001 by trust here, #6,877 by citations
- Algorithms & Complexity — 26 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
Whom Soummya Kar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John N. Tsitsiklis
- Reza Olfati-Saber
- Lin Xiao
- Stephen P. Boyd
- José M. F. Moura
- Dimitri P. Bertsekas
- Ali Jadbabaie
- Angelia Nedić
- Richard M. Murray
- Chai Wah Wu
Who trusts Soummya Kar overall
- José M. F. Moura
- Ali H. Sayed
- Angelia Nedić
- Zaid J. Towfic
- Jianshu Chen
- Nicolas Loizou
- Jianyu Wang
- Michael G. Rabbat
- Kunal Srivastava
- Sergio Valcarcel Macua
Papers from Soummya Kar's perspective
Ordered by how strongly the researchers Soummya Kar 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Resilient Distributed Parameter Estimation With Heterogeneous Data (2018) — 39 citations
- Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid (2015) — 328 citations
- Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes (2008) — 352 citations
- MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling (2019) — 182 citations
- Convergence Rates for Distributed Stochastic Optimization Over Random Networks (2018) — 76 citations
- Communication-Efficient Distributed Strongly Convex Stochastic Optimization: Non-Asymptotic Rates. (2018) — 15 citations
- Topology adaptive graph convolutional networks (2017) — 392 citations
- Coded Distributed Computing for Inverse Problems (2017) — 68 citations
- QD-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations (2012) — 205 citations
- Fully Distributed State Estimation for Wide-Area Monitoring Systems (2012) — 303 citations
- Gossip Algorithms for Distributed Signal Processing (2010) — 896 citations
- Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication (2008) — 485 citations
- Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise (2007) — 702 citations
- Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures (2007) — 437 citations
- Sensor Networks With Random Links: Topology Design for Distributed Consensus (2007) — 273 citations