Eric Cousineau

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #32,933 of 35,345 by trust here, #14,438 by citations
• Computer Vision and Pattern Recognition — 41 citations into it
• Generative Models — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Eric Cousineau trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. X. Zhang
8. Ilya Sutskever
9. Ross B. Girshick
10. Alec Radford

Who trusts Eric Cousineau overall

1. Zipeng Fu

Papers from Eric Cousineau's perspective

Ordered by how strongly the researchers Eric Cousineau 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Diffusion policy: Visuomotor policy learning via action diffusion (2023) — 3,739 citations
• Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots (2024) — 610 citations