Pascal Meissner

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 11 citations into it
• Artificial Intelligence — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Pascal Meissner trusts overall

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

1. Chelsea Finn
2. Sergey Levine
3. Yan Duan
4. Avi Singh
5. Deirdre Quillen
6. Pieter Abbeel

Papers from Pascal Meissner's perspective

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

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

Their papers

• Self-Supervised Learning for Precise Pick-and-Place Without Object Model (2020) — 72 citations