Sebastian Lehner

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Reinforcement Learning — 25 citations into it
• Model Architectures — 20 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Sebastian Lehner trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton

Papers from Sebastian Lehner's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Layer Normalization
8. Reinforcement Learning: An Introduction
9. Language Models are Unsupervised Multitask Learners
10. Proximal Policy Optimization Algorithms (arXiv.org)

Their papers

• History Compression via Language Models in Reinforcement Learning (2022) — 53 citations
• Transverse momentum spectra and nuclear modification factors of charged particles in pp, p-Pb and Pb-Pb collisions at the LHC (2018) — 152 citations
• Λ c + production in pp collisions at √s=7 TeV and in p-Pb collisions at √sNN=5.02 TeV (2017) — 164 citations
• Elliptic flow of electrons from heavy-flavour hadron decays at mid-rapidity in Pb-Pb collisions at √sNN=2.76 TeV (2016) — 175 citations
• Enhanced production of multi-strange hadrons in high-multiplicity proton–proton collisions (2016) — 681 citations