Ali Shojaie
Statistics and Probability · 2016–2021
A researcher in the Science corpus: 6 papers; trusts 136 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 87 citations into it
- Artificial Intelligence — 58 citations into it
- Economics and Econometrics — 37 citations into it
- Computational Mechanics — 31 citations into it
- Optimization & Training — 24 citations into it
- Control and Systems Engineering — 22 citations into it; #3,763 of 8,257 by trust here, #5,784 by citations
- Signal Processing — 17 citations into it; #7,154 of 7,572 by trust here, #6,836 by citations
- Cognitive Neuroscience — 16 citations into it
Whom Ali Shojaie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Alex Graves
- Ming Yuan
- Christopher A. Sims
- Eric R. Ziegel
- Stephen A. Billings
- Clive W. J. Granger
- Aapo Hyvärinen
- B. Pfaff
- Chenchuramaiah T. Bathala
Who trusts Ali Shojaie overall
Papers from Ali Shojaie's perspective
Ordered by how strongly the researchers Ali Shojaie trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Regression Shrinkage and Selection via the Lasso
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Generalized Sparse Additive Models (2019) — 20 citations
- Network Reconstruction From High-Dimensional Ordinary Differential Equations (2016) — 81 citations
- Granger Causality: A Review and Recent Advances (2021) — 528 citations
- Neural Granger Causality (2021) — 403 citations
- Wavelet regression and additive models for irregularly spaced data (2019) — 5 citations
- Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series. (2017) — 28 citations