Pablo Moscato
Science · 2000–2019
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 14 researchers here, as inferred from the citation graph.
Whom Pablo Moscato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pablo Moscato overall
- Gleb Beliakov
- Amin Jula
- Jean-François Cordeau
- Ana Pradera
- Tomasa Calvo
- Elankovan A. Sundararajan
- Gilbert Laporte
- Michel Gendreau
- Sundhar Srinivasan Ram
- Henrik Andersson
Papers from Pablo Moscato's perspective
Ordered by how strongly the researchers Pablo Moscato 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Gentle Introduction to Memetic Algorithms (2003) — 516 citations
- Deep neural networks understand investors better (2018) — 50 citations
- Multiple Sclerosis Genomic Map implicates peripheral immune cells & microglia in susceptibility (2019) — 1,186 citations
- Handbook of Memetic Algorithms (2011) — 359 citations
- Handbook of Applied Optimization (2000) — 303 citations