Anthony Brohan
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 237 citations into it
- Computer Vision and Pattern Recognition — 210 citations into it
- Reinforcement Learning — 143 citations into it
- Control and Systems Engineering — 81 citations into it
Whom Anthony Brohan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Sergey Levine
- Chelsea Finn
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
Who trusts Anthony Brohan overall
- Kevin Black
- Ted Xiao
- Moo Jin Kim
- Boyuan Chen
- Homer Rich Walke
- Zipeng Fu
- Mengjiao Yang
- Chelsea Finn
- O. Team
- Tony Zhao
Papers from Anthony Brohan's perspective
Ordered by how strongly the researchers Anthony Brohan 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (2022) — 3,376 citations
- RT-1: Robotics Transformer for Real-World Control at Scale (2022) — 2,545 citations
- Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models (2022) — 84 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Gemini Robotics: Bringing AI into the Physical World (2025) — 385 citations
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control (2023) — 3,674 citations