Daniel Seita

Control and Systems Engineering · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 38 citations into it
• Reinforcement Learning — 29 citations into it
• Artificial Intelligence — 22 citations into it

Whom Daniel Seita trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Sergey Levine
3. Kaiming He
4. Andy Zeng
5. Geoffrey E. Hinton
6. Pieter Abbeel
7. Chelsea Finn
8. Alex Krizhevsky
9. Jimmy Ba
10. Sargur N. Srihari

Who trusts Daniel Seita overall

1. Mohit Shridhar
2. Lucas Manuelli

Papers from Daniel Seita's perspective

Ordered by how strongly the researchers Daniel Seita trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks (2020) — 200 citations
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019) — 30 citations