Manuel Brack

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #32,118 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #19,738 of 21,575 by trust here, #17,757 by citations
• Generative Models — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Manuel Brack trusts overall

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

1. Vinay Uday Prabhu
2. Abeba Birhane
3. Jonathan Ho
4. Alec Radford
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Alex Nichol
8. Ilya Sutskever
9. Yoshua Bengio
10. Samuel Gehman

Who trusts Manuel Brack overall

1. Rohit Gandikota
2. Shilin Lu

Papers from Manuel Brack's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models (2022) — 584 citations