Miguel Angel Bautista

Materials Chemistry · with Elhag · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 10 citations into it
• Molecular Biology — 10 citations into it

Whom Miguel Angel Bautista trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jian Tang (in Materials Chemistry)
2. Minkai Xu (in Molecular Biology)

Papers from Miguel Angel Bautista's perspective

Ordered by how strongly the researchers Miguel Angel Bautista trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Denoising Diffusion Implicit Models
9. HyperNetworks
10. How Powerful are Graph Neural Networks?

Their papers

• Generating Molecular Conformer Fields (2023) — 12 citations