Shekoofeh Azizi
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 12 papers; trusts 387 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 260 citations into it
- Computer Vision and Pattern Recognition — 172 citations into it
- Generative Models — 49 citations into it
- Model Architectures — 17 citations into it
- Optimization & Training — 16 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Biophysics — 9 citations into it
Whom Shekoofeh Azizi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Jonathan Ho
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
Who trusts Shekoofeh Azizi overall
Papers from Shekoofeh Azizi's perspective
Ordered by how strongly the researchers Shekoofeh Azizi trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Large language models encode clinical knowledge (2022) — 4,703 citations
- Towards Expert-Level Medical Question Answering with Large Language Models (2023) — 799 citations
- Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting (2020) — 349 citations
- Big Self-Supervised Models Advance Medical Image Classification (2021) — 741 citations
- Synthetic Data from Diffusion Models Improves ImageNet Classification (2023) — 451 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Toward expert-level medical question answering with large language models (2025) — 1,038 citations
- Towards conversational diagnostic artificial intelligence (2025) — 310 citations
- MedGemma Technical Report (2025) — 365 citations
- Capabilities of Gemini Models in Medicine (2024) — 407 citations
- Towards Generalist Biomedical AI (2023) — 549 citations
- Towards accurate differential diagnosis with large language models (2023) — 345 citations