Amir Barati Farimani
Statistical and Nonlinear Physics · 2015–2022
A researcher in the Science corpus: 4 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 46 citations into it
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Computational Mechanics — 30 citations into it
- Materials Chemistry — 20 citations into it
- Model Architectures — 20 citations into it
- Atmospheric Science — 7 citations into it
- Natural Language Processing — 7 citations into it
Whom Amir Barati Farimani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Zong-Yi Li
- Ilya Sutskever
- Diederik P. Kingma
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
- Xavier Glorot
Who trusts Amir Barati Farimani overall
Papers from Amir Barati Farimani's perspective
Ordered by how strongly the researchers Amir Barati Farimani trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Transformer for Partial Differential Equations' Operator Learning (2022) — 328 citations
- Water desalination with a single-layer MoS2 nanopore (2015) — 692 citations
- A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction (2022) — 311 citations
- Deep Learning the Physics of Transport Phenomena (2017) — 117 citations