Ershad Banijamali

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Generative Models — 5 citations into it

Whom Ershad Banijamali trusts overall

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

1. Diederik P. Kingma
2. E. Todorov
3. Ryuichi Oka
4. Danilo Jimenez Rezende
5. Sascha Lange
6. Geoffrey E. Hinton
7. Martin A. Riedmiller
8. Max Welling
9. Manuel Watter
10. Weiwei Li

Who trusts Ershad Banijamali overall

1. Brandon Cui
2. Mohit Sharma
3. Yinlam Chow
4. Marvin Zhang
5. Nir Levine
6. Xinzhe Han
7. Dhruv Shah
8. Kevin Zhang
9. Danijar Hafner
10. Mohammad Ghavamzadeh

Papers from Ershad Banijamali's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Robust Locally-Linear Controllable Embedding (2017) — 101 citations
• Online Algorithms for Sum-Product Networks with Continuous Variables (2016) — 24 citations