Antonio Claudio M. Padilha
Materials Chemistry · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 164 citations into it
Whom Antonio Claudio M. Padilha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Antonio Claudio M. Padilha overall
Papers from Antonio Claudio M. Padilha's perspective
Ordered by how strongly the researchers Antonio Claudio M. Padilha trusts endorse each paper. Same corpus, a different order for every researcher.
- I and J
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- The Elements of Statistical Learning
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Self-Consistent Equations Including Exchange and Correlation Effects
- Et al
Their papers
- From DFT to machine learning: recent approaches to materials science–a review (2019) — 781 citations