E. Múgica

Artificial Intelligence · 2020

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

• Artificial Intelligence — 23 citations into it
• Federated & Distributed Learning — 10 citations into it

Whom E. Múgica trusts overall

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

1. Vivek Sharma
2. Praneeth Vepakomma
3. Otkrist Gupta

Papers from E. Múgica's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. GloVe: Global Vectors for Word Representation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SplitNN-driven Vertical Partitioning (2020) — 91 citations