Sebastian Pineda Arango

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Probabilistic & Bayesian Methods — 22 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Optimization & Training — 8 citations into it

Whom Sebastian Pineda Arango trusts overall

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

1. Radford M. Neal
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. David John Cameron MacKay
5. Yann LeCun
6. Alex Krizhevsky
7. Max Welling
8. Yoshua Bengio
9. Kaiming He
10. Michael I. Jordan

Papers from Sebastian Pineda Arango's perspective

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

Their papers

• Transformers Can Do Bayesian Inference (2021) — 351 citations
• Chronos: Learning the Language of Time Series (2024) — 878 citations