Naji Shajarisales
Causal Inference & Discovery · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Causal Inference & Discovery — 25 citations into it; #184 of 364 by trust here, #224 by citations
- Artificial Intelligence — 18 citations into it; #16,315 of 35,345 by trust here, #21,316 by citations
- Computational Theory and Mathematics — 5 citations into it
- Information Theory — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Naji Shajarisales trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dominik Janzing
- Bernhard Schölkopf
- Joris M. Mooij
- Clive W. J. Granger
- Kun Zhang
- Peter M. Bentler
- Jan Peters
- Alex Krizhevsky
- Patrik O. Hoyer
- Povilas Daniusis
Who trusts Naji Shajarisales overall
Papers from Naji Shajarisales's perspective
Ordered by how strongly the researchers Naji Shajarisales trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Group invariance principles for causal generative models (2017) — 50 citations
- Telling cause from effect in deterministic linear dynamical systems (2015) — 52 citations