Majid Rasht-Behesht

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Geophysics — 11 citations into it
• Aerospace Engineering — 6 citations into it
• Computational Mechanics — 6 citations into it

Whom Majid Rasht-Behesht trusts overall

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

1. Ameya Dilip Jagtap
2. G. Em Karniadakis
3. René-Edouard Plessix
4. Khemraj Shukla
5. Shengze Cai
6. Diederik P. Kingma
7. Maizar Raissi
8. Dimitri Komatitsch
9. Levi D. McClenny
10. Paris Perdikaris

Papers from Majid Rasht-Behesht's perspective

Ordered by how strongly the researchers Majid Rasht-Behesht trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions (2021) — 401 citations