Feryal M. P. Behbahani
Artificial Intelligence · 2018–2025
A researcher in the Science corpus: 7 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 213 citations into it
- Reinforcement Learning — 164 citations into it
- Computer Vision and Pattern Recognition — 89 citations into it
Whom Feryal M. P. Behbahani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Sergey Levine
- Pieter Abbeel
- Yoshua Bengio
- Shaoqing Ren
- John Schulman
Who trusts Feryal M. P. Behbahani overall
Papers from Feryal M. P. Behbahani's perspective
Ordered by how strongly the researchers Feryal M. P. Behbahani 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Acme: A Research Framework for Distributed Reinforcement Learning (2020) — 248 citations
- Genie: Generative Interactive Environments (2024) — 696 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Training Language Models to Self-Correct via Reinforcement Learning (2024) — 429 citations
- Human-Timescale Adaptation in an Open-Ended Task Space (2023) — 163 citations
- Learning From Demonstration in the Wild (2018) — 77 citations
- Automated Curriculum Learning (2018) — 4 citations