H. Mirgolbabaei
Computational Mechanics · 2010–2015
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
- Computational Mechanics — 7 citations into it
- Fluid Flow and Transfer Processes — 7 citations into it
Whom H. Mirgolbabaei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from H. Mirgolbabaei's perspective
Ordered by how strongly the researchers H. Mirgolbabaei trusts endorse each paper. Same corpus, a different order for every researcher.
- Principal Component Analysis
- Principal Component Analysis
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Computational Models for Turbulent Reacting Flows: Turbulent reacting flows
- This PDF file includes: Materials and Methods
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Principal component transport in turbulent combustion: A posteriori analysis (2015) — 66 citations
- Nonlinear reduction of combustion composition space with kernel principal component analysis (2014) — 66 citations
- Experimental study of mixed convection heat transfer in vertical helically coiled tube heat exchangers (2010) — 177 citations