Luis A. Lastras

Electrical and Electronic Engineering · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 32 citations into it
• Materials Chemistry — 30 citations into it
• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Generative Models — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Luis A. Lastras trusts overall

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

1. Naftali Tishby
2. Alex Krizhevsky
3. J. Tomczak
4. Diederik P. Kingma
5. Max Welling
6. Hugo Larochelle
7. Geoffrey E. Hinton
8. Ruslan Salakhutdinov
9. Radford M. Neal
10. Jimmy Ba

Who trusts Luis A. Lastras overall

1. Long-Kai Huang

Papers from Luis A. Lastras's perspective

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

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

Their papers

• Phase change memory technology (2010) — 1,007 citations
• Enhancing lifetime and security of PCM-based Main Memory with Start-Gap Wear Leveling (2009) — 759 citations
• Implicit Discourse Relation Classification: We Need to Talk about Evaluation (2020) — 57 citations
• Information Theoretic Lower Bounds on Negative Log Likelihood (2018) — 10 citations