Danai Chasaki
Computer Networks and Communications · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 60 citations into it
- Artificial Intelligence — 33 citations into it
Whom Danai Chasaki trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- E. Arıkan (in Computer Networks and Communications)
- Richard E. Blahut (in Computer Networks and Communications)
Papers from Danai Chasaki's perspective
Ordered by how strongly the researchers Danai Chasaki trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Brain Damage
- Learning both Weights and Connections for Efficient Neural Network
- Speeding up Convolutional Neural Networks with Low Rank Expansions
- Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
- MobileNetV2: Inverted Residuals and Linear Bottlenecks
- Deep Learning
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
- BinaryConnect: Training Deep Neural Networks with binary weights during propagations
- Low-Density Parity-Check Codes
Their papers
- Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Toward 6G (2021) — 547 citations