Brighten Godfrey
Computer Networks and Communications · 2003–2019
A researcher in the Science corpus: 11 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 125 citations into it; #3,574 of 9,886 by trust here, #816 by citations
- Information Systems — 34 citations into it; #8,760 of 8,771 by trust here, #5,303 by citations
- Electrical and Electronic Engineering — 28 citations into it; #13,132 of 16,539 by trust here, #12,348 by citations
- Artificial Intelligence — 24 citations into it
- Reinforcement Learning — 12 citations into it
Whom Brighten Godfrey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Dabek
- John W. Byers
- Michael M. Mitzenmacher
- Antony Ian Taylor Rowstron
- Mohammad Al-Fares
- Hakim Weatherspoon
- M. Frans Kaashoek
- Ananth Rao
- Ion Stoica
- Richard S. Sutton
Who trusts Brighten Godfrey overall
- A. Dimakis
- Eric Crawford
- Cheng Huang
- Gauri Joshi
- Giannis Daras
- Mohammad Alizadeh
- Natalia Silberstein
Papers from Brighten Godfrey's perspective
Ordered by how strongly the researchers Brighten Godfrey 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)
- Reinforcement Learning: An Introduction
- VL2: a scalable and flexible data center network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- A scalable, commodity data center network architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Jellyfish: Networking Data Centers Randomly (2011) — 617 citations
- A Deep Reinforcement Learning Perspective on Internet Congestion Control (2019) — 407 citations
- PCC Vivace: Online-Learning Congestion Control (2018) — 418 citations
- DRILL: Micro Load Balancing for Low-latency Data Center Networks (2017) — 303 citations
- Finishing flows quickly with preemptive scheduling (2012) — 557 citations
- VeriFlow: verifying network-wide invariants in real time (2012) — 1,047 citations
- Debugging the data plane with anteater (2011) — 516 citations
- Network Coding for Distributed Storage Systems (2007) — 2,113 citations
- OpenDHT: a public DHT service and its uses (2005) — 369 citations
- Load balancing in dynamic structured P2P systems (2004) — 426 citations
- ON THE COMPLEXITY OF THE GAME OF SET (2003)