Paavo Parmas

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 10 citations into it; #1,858 of 2,242 by trust here, #1,973 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Paavo Parmas trusts overall

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

1. Marc Peter Deisenroth
2. Ronald J. Williams
3. Iain Murray
4. Carl E. Rasmussen
5. Peter W. Glynn
6. Andriy Mnih
7. Rowan Thomas McAllister
8. Jan Peters
9. Geoffrey E. Hinton
10. Danilo Jimenez Rezende

Who trusts Paavo Parmas overall

1. Luke Metz
2. Sergey Levine
3. Shakir Mohamed
4. Mengjiao Yang
5. C. Freeman
6. Aviral Kumar
7. George Tucker
8. Mihaela Rosca
9. Bo Dai
10. Danijar Hafner

Papers from Paavo Parmas's perspective

Ordered by how strongly the researchers Paavo Parmas 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. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos (2019) — 102 citations