Payam Rowghanian

Nature · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Payam Rowghanian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma

Papers from Payam Rowghanian's perspective

Ordered by how strongly the researchers Payam Rowghanian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Dimensionality Reduction by Learning an Invariant Mapping
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Self-Supervised Goal-Conditioned Pick and Place (2020) — 10 citations
• A fluid-to-solid jamming transition underlies vertebrate body axis elongation (2018) — 645 citations