Gesualdo Scutari
Computer Networks and Communications · 2007–2018
A researcher in the Science corpus: 11 papers; trusts 72 researchers and is trusted by 62 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 110 citations into it; #320 of 9,886 by trust here, #585 by citations
- Electrical and Electronic Engineering — 61 citations into it; #3,010 of 16,539 by trust here, #4,002 by citations
- Computational Mechanics — 48 citations into it; #680 of 10,001 by trust here, #1,778 by citations
- Optimization & Training — 43 citations into it; #2,388 of 2,601 by trust here, #2,378 by citations
- Artificial Intelligence — 37 citations into it; #19,280 of 35,345 by trust here, #26,682 by citations
- Numerical Analysis — 34 citations into it; #1,770 of 3,586 by trust here, #1,831 by citations
- Mathematical Optimization — 30 citations into it
- Computational Theory and Mathematics — 24 citations into it
Whom Gesualdo Scutari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Angelia Nedić
- Dimitri P. Bertsekas
- Wei Yu
- Asuman E. Ozdaglar
- Francisco Facchinei
- Wei Shi
- Ermin Wei
- John N. Tsitsiklis
- Mingyi Hong
- Lin Xiao
Who trusts Gesualdo Scutari overall
- Angelia Nedić
- Mingyi Hong
- Simone Scardapane
- Haoran Sun
- Alexander Olshevsky
- Vishnu S Pendyala
- Jinshan Zeng
- Amirhossein Reisizadeh
- Thinh T. Doan
- Guannan Qu
Papers from Gesualdo Scutari's perspective
Ordered by how strongly the researchers Gesualdo Scutari trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Long Short-Term Memory
- Partial Solutions Manual Parallel and Distributed Computation : Numerical Methods
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing (2014) — 877 citations
- Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria (2007) — 300 citations
- Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems (2013) — 319 citations
- Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory (2016) — 297 citations
- Convex Optimization, Game Theory, and Variational Inequality Theory (2010) — 396 citations
- Demand-Side Management via Distributed Energy Generation and Storage Optimization (2013) — 513 citations
- Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs (2018) — 6 citations
- Distributed nonconvex constrained optimization over time-varying digraphs (2018) — 199 citations
- Finite Rate Quantized Distributed optimization with Geometric Convergence (2018) — 27 citations
- NEXT: In-Network Nonconvex Optimization (2016) — 572 citations
- Parallel Selective Algorithms for Nonconvex Big Data Optimization (2014) — 172 citations