Florian T. Pokorny

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #31,969 of 35,345 by trust here, #10,207 by citations
• Control and Systems Engineering — 43 citations into it; #7,929 of 8,257 by trust here, #946 by citations
• Reinforcement Learning — 37 citations into it

Whom Florian T. Pokorny trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Pieter Abbeel
4. Sergey Levine
5. Andrew Y. Ng
6. Ilya Sutskever
7. Yoshua Bengio
8. Diederik P. Kingma
9. Richard S. Sutton
10. Yann LeCun

Who trusts Florian T. Pokorny overall

1. Jeffrey Mahler
2. Lerrel Pinto
3. Adithyavairavan Murali
4. Sergey Levine
5. Avi Singh
6. Sulabh Kumra

Papers from Florian T. Pokorny's perspective

Ordered by how strongly the researchers Florian T. Pokorny 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards (2016) — 391 citations
• SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces (2016) — 74 citations
• SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards (2018) — 77 citations
• Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation (2016) — 114 citations