Max Körfer

Artificial Intelligence · 2025

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 6 citations into it

Whom Max Körfer trusts

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

1. Noam Shazeer (in Artificial Intelligence)

Papers from Max Körfer's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Understanding the difficulty of training deep feedforward neural networks
4. SGDR: Stochastic Gradient Descent with Warm Restarts
5. ImageNet classification with deep convolutional neural networks
6. XGBoost: A Scalable Tree Boosting System
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Neural Information Processing Systems)

Their papers

• Accurate predictions on small data with a tabular foundation model (2025) — 1,171 citations