W. A. Zúñiga-Galindo
Mathematical Physics · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Mathematical Physics — 22 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Applied Mathematics — 10 citations into it
Whom W. A. Zúñiga-Galindo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from W. A. Zúñiga-Galindo's perspective
Ordered by how strongly the researchers W. A. Zúñiga-Galindo trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Deep Architectures for AI
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- This PDF file includes: Materials and Methods
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Ultrametric Pseudodifferential Equations and Applications (2018) — 77 citations
- Pseudodifferential Equations Over Non-Archimedean Spaces (2017) — 103 citations