Omer San
Statistical and Nonlinear Physics · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 137 citations into it; #7,138 of 10,127 by trust here, #6,156 by citations
- Computational Mechanics — 99 citations into it; #7,391 of 10,001 by trust here, #6,287 by citations
- Statistics and Probability — 63 citations into it
- Artificial Intelligence — 58 citations into it
- Computer Vision and Pattern Recognition — 47 citations into it
- Electrical and Electronic Engineering — 29 citations into it
- Computer Networks and Communications — 26 citations into it
- Atmospheric Science — 25 citations into it
Whom Omer San trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gitta Kutyniok
- Sepp Hochreiter
- Geoffrey E. Hinton
- Steven L. Brunton
- Maizar Raissi
- Joel A. Tropp
- Robert Tibshirani
- Jin-Long Wu
- Alex Krizhevsky
- Julia Ling
Who trusts Omer San overall
Papers from Omer San's perspective
Ordered by how strongly the researchers Omer San trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019) — 1,454 citations
- Subgrid modelling for two-dimensional turbulence using neural networks (2018) — 341 citations
- On closures for reduced order models—A spectrum of first-principle to machine-learned avenues (2021) — 168 citations