Yusuf H. Roohani
Molecular Biology · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 82 citations into it
- Artificial Intelligence — 22 citations into it
- Graph Learning — 9 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Biophysics — 5 citations into it
- Immunology — 5 citations into it
Whom Yusuf H. Roohani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammad Lotfollahi
- William L. Hamilton
- Nir Friedman
- Romain Lopez
- Diego Jaitin
- Matthew R. Nelson
- Zhitao Ying
- F. Alexander Wolf
- Michal Linial
- S. Maude
Papers from Yusuf H. Roohani's perspective
Ordered by how strongly the researchers Yusuf H. Roohani trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (2021) — 487 citations
- Predicting transcriptional outcomes of novel multigene perturbations with GEARS (2023) — 368 citations