Bjorn Deiseroth

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; #32,119 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #19,739 of 21,575 by trust here, #17,757 by citations
• Generative Models — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Bjorn Deiseroth trusts overall

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

1. Vinay Uday Prabhu
2. Abeba Birhane
3. Jonathan Ho

Who trusts Bjorn Deiseroth overall

1. Rohit Gandikota

Papers from Bjorn Deiseroth's perspective

Ordered by how strongly the researchers Bjorn Deiseroth 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. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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