Aaron Lou

Artificial Intelligence · Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Generative Models — 27 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Natural Language Processing — 8 citations into it
• Signal Processing — 8 citations into it
• Model Architectures — 6 citations into it

Whom Aaron Lou trusts overall

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

1. Jonathan Ho
2. Yang Song
3. Pascal Vincent
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Bradley Efron
7. Yoshua Bengio
8. Michael F. Hutchinson
9. Alex Krizhevsky
10. Bernt Øksendal

Who trusts Aaron Lou overall

1. Jingyang Ou
2. Shen Nie

Papers from Aaron Lou's perspective

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

Their papers

• Diffusion Model Alignment Using Direct Preference Optimization (2023) — 819 citations
• Sequence modeling and design from molecular to genome scale with Evo (2024) — 349 citations
• Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (2023) — 651 citations