Soroush Nasiriany
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 7 papers; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 246 citations into it
- Computer Vision and Pattern Recognition — 192 citations into it
- Reinforcement Learning — 176 citations into it
- Control and Systems Engineering — 139 citations into it
- Robotics & Control — 97 citations into it
- Mechanical Engineering — 24 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
- Generative Models — 19 citations into it
Whom Soroush Nasiriany trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Diederik P. Kingma
- Geoffrey E. Hinton
- Richard S. Sutton
- Alex Krizhevsky
- Pieter Abbeel
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- E. Todorov
Who trusts Soroush Nasiriany overall
Papers from Soroush Nasiriany's perspective
Ordered by how strongly the researchers Soroush Nasiriany 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots (2025) — 1,085 citations
- Planning with Goal-Conditioned Policies (2019) — 255 citations
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots (2024) — 419 citations
- MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations (2023) — 398 citations
- What Matters in Learning from Offline Human Demonstrations for Robot Manipulation (2021) — 937 citations