Christina Delimitrou
Computer Networks and Communications · 2013–2019
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 78 citations into it; #3,786 of 9,886 by trust here, #3,753 by citations
- Information Systems — 70 citations into it; #1,769 of 8,771 by trust here, #1,933 by citations
- Hardware and Architecture — 36 citations into it; #226 of 1,551 by trust here, #397 by citations
- ML Systems & Hardware — 32 citations into it
- Artificial Intelligence — 13 citations into it
- Optimization & Training — 5 citations into it
Whom Christina Delimitrou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Luiz André Barroso
- Matei A. Zaharia
- Zhenhuan Gong
- Christos Kozyrakis
- Andy Konwinski
- Christian Bienia
- Zhiming Shen
- Muthu Dayalan
- Xiaohui Gu
Who trusts Christina Delimitrou overall
- David Lo
- Francesco Pace
- Yu Gan
- Christos Kozyrakis
- Liqun Cheng
- Daniele Venzano
- Shivaram Venkataraman
- D. Narayanan
- Rama K. Govindaraju
- Damiano Carra
Papers from Christina Delimitrou's perspective
Ordered by how strongly the researchers Christina Delimitrou 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)
- MapReduce: simplified data processing on large clusters
- Et al
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices (2019) — 331 citations
- PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services (2019) — 332 citations
- An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems (2019) — 832 citations
- Quasar: resource-efficient and QoS-aware cluster management (2014) — 1,134 citations
- Paragon: QoS-aware scheduling for heterogeneous datacenters (2013) — 858 citations