Yuris Mulya Saputra

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Yuris Mulya Saputra trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Raouf Boutaba
3. Kristin P. Bennett
4. Chaoyun Zhang
5. Jimmy Ba
6. Tian Li
7. Joohyung Lee
8. Mohammad Ali Salahuddin
9. Paul S. Bradley
10. Paul Patras

Who trusts Yuris Mulya Saputra overall

1. Yang Zhao

Papers from Yuris Mulya Saputra's perspective

Ordered by how strongly the researchers Yuris Mulya Saputra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Large Scale Distributed Deep Networks
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Energy Demand Prediction with Federated Learning for Electric Vehicle Networks (2019) — 232 citations
• Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks (2020) — 11 citations