Glen Bigan Mbeng

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Optimization & Training — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Glen Bigan Mbeng trusts overall

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

1. Alessandro Achille
2. P. Ring
3. James Martens
4. Stefano Soatto
5. Kaiming He
6. Pratik Chaudhari
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. P. Schuck
10. Yoshua Bengio

Papers from Glen Bigan Mbeng's perspective

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

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

Their papers

• The Information Complexity of Learning Tasks, their Structure and their Distance (2019) — 61 citations
• The quantum Ising chain for beginners (2020) — 145 citations
• The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability (2018) — 7 citations