David Alonso Barajas-Solano
Statistical and Nonlinear Physics · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 16 citations into it; #7,173 of 10,127 by trust here, #5,625 by citations
- Artificial Intelligence — 10 citations into it; #26,356 of 35,345 by trust here, #23,731 by citations
- Optimization & Training — 8 citations into it
- AI for Physical Sciences — 6 citations into it
- Computational Mechanics — 6 citations into it; #7,442 of 10,001 by trust here, #5,813 by citations
- Global and Planetary Change — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom David Alonso Barajas-Solano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- Xavier Glorot
- Diederik P. Kingma
- Geir Evensen
- Yoshua Bengio
- Paris Perdikaris
- P. Houtekamer
- Richard H. Byrd
- E. Weinan
- Jens Berg
Who trusts David Alonso Barajas-Solano overall
Papers from David Alonso Barajas-Solano's perspective
Ordered by how strongly the researchers David Alonso Barajas-Solano trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Understanding the difficulty of training deep feedforward neural networks
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database