Srikanth Kandula
Computer Networks and Communications · 2004–2016
A researcher in the Science corpus: 21 papers; trusts 17 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 181 citations into it; #1,285 of 9,886 by trust here, #118 by citations
- Information Systems — 97 citations into it; #2,164 of 8,771 by trust here, #181 by citations
- Electrical and Electronic Engineering — 51 citations into it
- Artificial Intelligence — 37 citations into it; #18,380 of 35,345 by trust here, #8,210 by citations
- Hardware and Architecture — 36 citations into it
- ML Systems & Hardware — 19 citations into it
- Reinforcement Learning — 12 citations into it
Whom Srikanth Kandula trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Albert G. Greenberg
- Muthu Dayalan
- Matei A. Zaharia
- Dina Katabi
- Michael Isard
- Daniel O. Awduche
- Lili Qiu
- Vern Paxson
- Luis von Ahn
- Yin Zhang
Who trusts Srikanth Kandula overall
- Mohammad Alizadeh
- Theophilus A. Benson
- Ganesh Ananthanarayanan
- Hitesh Ballani
- Daniel Halperin
- Hongzi Mao
- Aditya Akella
- Mung Chiang
- Wenjie Jiang
- Mingui Zhang
Papers from Srikanth Kandula's perspective
Ordered by how strongly the researchers Srikanth Kandula 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)
- Human-level control through deep reinforcement learning
- Long Short-Term Memory
- Asynchronous Methods for Deep Reinforcement Learning
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Resource Management with Deep Reinforcement Learning (2016) — 1,326 citations
- Dynamic load balancing without packet reordering (2007) — 355 citations
- A first look at traffic on smartphones (2010) — 451 citations
- Diversity in smartphone usage (2010) — 922 citations
- Low Latency Geo-distributed Data Analytics (2015) — 388 citations
- Multi-resource packing for cluster schedulers (2014) — 673 citations
- Dynamic scheduling of network updates (2014) — 389 citations
- Achieving high utilization with software-driven WAN (2013) — 1,287 citations
- Jockey: guaranteed job latency in data parallel clusters (2012) — 347 citations
- PACMan: Coordinated Memory Caching for Parallel Jobs (2012) — 344 citations
- Augmenting data center networks with multi-gigabit wireless links (2011) — 373 citations
- Sharing the Data Center Network (2011) — 409 citations
- Scarlett: coping with skewed content popularity in mapreduce clusters (2011) — 331 citations
- CloudCmp: comparing public cloud providers (2010) — 1,075 citations
- Reining in the Outliers in Map-Reduce Clusters using Mantri (2010) — 809 citations
- VL2: a scalable and flexible data center network (2009) — 2,812 citations
- The nature of data center traffic: measurements & analysis (2009) — 1,177 citations
- Towards highly reliable enterprise network services via inference of multi-level dependencies (2007) — 464 citations
- Botz-4-sale: surviving organized DDoS attacks that mimic flash crowds (2005) — 437 citations
- Walking the tightrope: responsive yet stable traffic engineering (2005) — 472 citations