Jeremy Heng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Generative Models — 23 citations into it; #1,761 of 1,956 by trust here, #1,577 by citations
• Artificial Intelligence — 17 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Signal Processing — 9 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it; #1,419 of 1,525 by trust here, #1,075 by citations
• Statistics and Probability — 5 citations into it

Whom Jeremy Heng trusts overall

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

1. Diederik P. Kingma
2. Yang Song
3. Marco Cuturi
4. Pascal Vincent
5. Aapo Hyvärinen
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Jonathan Ho
9. Alex Krizhevsky
10. John Skilling

Who trusts Jeremy Heng overall

1. Stefano Peluchetti

Papers from Jeremy Heng's perspective

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

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

Their papers

• Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling (2021) — 746 citations