Navid Zobeiry

Statistical and Nonlinear Physics · 2020

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 — 10 citations into it
• Artificial Intelligence — 5 citations into it
• Computational Mechanics — 5 citations into it

Whom Navid Zobeiry trusts overall

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

1. Maizar Raissi
2. Justin A. Sirignano
3. Nicholas Wagner
4. Jian-Xun Wang
5. Anand Pratap Singh
6. Jiequn Han
7. Paris Perdikaris
8. Konstantinos Spiliopoulos
9. James M. Rondinelli
10. G. Em Karniadakis

Who trusts Navid Zobeiry overall

1. S. Niaki
2. Ehsan Haghighat

Papers from Navid Zobeiry's perspective

Ordered by how strongly the researchers Navid Zobeiry 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. Long Short-Term Memory
3. Gradient-based learning applied to document recognition
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet classification with deep convolutional neural networks
6. Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data
7. DGM: A deep learning algorithm for solving partial differential equations
8. Solving high-dimensional partial differential equations using deep learning
9. Learning Multiple Layers of Features from Tiny Images
10. Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Their papers

• A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications (2020) — 384 citations