Bamdad Hosseini

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 16 citations into it; #7,423 of 10,127 by trust here, #5,894 by citations
• Computational Mechanics — 11 citations into it; #7,623 of 10,001 by trust here, #6,041 by citations
• Statistics and Probability — 11 citations into it; #10,076 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 10 citations into it

Whom Bamdad Hosseini trusts overall

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

1. Albert Cohen
2. Dmitry Yarotsky
3. W. E
4. Kevin P. Murphy
5. Sebastian Reich
6. Ronald A. DeVore
7. Alfio Maria Quarteroni
8. Kody J. H. Law
9. Stefania Fresca
10. Gabriel J. Lord

Who trusts Bamdad Hosseini overall

1. Zong-Yi Li
2. Stefania Fresca
3. Lu Lu
4. Pengzhan Jin
5. Johannes Brandstetter
6. Alasdair Tran
7. Nikola B. Kovachki

Papers from Bamdad Hosseini's perspective

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

1. This PDF file includes: Materials and Methods
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Self-Normalizing Neural Networks
6. Error bounds for approximations with deep ReLU networks
7. ImageNet classification with deep convolutional neural networks
8. Machine learning - a probabilistic perspective
9. Reduced Basis Methods for Partial Differential Equations: An Introduction
10. Sparse adaptive Taylor approximation algorithms for parametric and stochastic elliptic PDEs

Their papers

• Model Reduction and Neural Networks for Parametric PDEs (2020) — 476 citations