José Miguel Hernández Lobato
Computational Theory and Mathematics · with Griffiths · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 37 citations into it; #8,408 of 12,182 by trust here, #9,804 by citations
- Materials Chemistry — 34 citations into it; #6,269 of 11,513 by trust here, #10,983 by citations
- Artificial Intelligence — 21 citations into it
- Generative Models — 17 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom José Miguel Hernández Lobato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts José Miguel Hernández Lobato overall
Papers from José Miguel Hernández Lobato's perspective
Ordered by how strongly the researchers José Miguel Hernández Lobato trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS