Ava P. Amini
Molecular Biology · 2022
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 23 citations into it
- Computational Biology & Bioinformatics — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Generative Models — 11 citations into it
- Materials Chemistry — 10 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Ava P. Amini trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed Alquraishi (in Molecular Biology)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Jeffrey Skolnick (in Materials Chemistry)
- Prafulla Dhariwal (in Computer Vision and Pattern Recognition)
- Alex Nichol (in Computer Vision and Pattern Recognition)
- Yang Zhang (in Computational Biology & Bioinformatics)
Papers from Ava P. Amini's perspective
Ordered by how strongly the researchers Ava P. Amini trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Decoupled Weight Decay Regularization
- Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
- Fast R-CNN
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Protein structure generation via folding diffusion (2022) — 297 citations