Adrian Albert

Artificial Intelligence · with Kashinath · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Statistical and Nonlinear Physics — 33 citations into it
• Computational Mechanics — 15 citations into it
• AI for Physical Sciences — 11 citations into it

Whom Adrian Albert trusts overall

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

1. Maizar Raissi
2. Paris Perdikaris
3. Zoubin Ghahramani
4. Pedro M. Domingos

Papers from Adrian Albert's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Deep Learning
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Interpretable inverse design of particle spectral emissivity using machine learning (2020) — 3 citations
• Physics-informed machine learning: case studies for weather and climate modelling (2021) — 660 citations
• Towards Physics-informed Deep Learning for Turbulent Flow Prediction (2019) — 451 citations