Mario Krenn
Artificial Intelligence · 2012–2022
A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 149 citations into it; #30,443 of 35,345 by trust here, #8,619 by citations
- Atomic and Molecular Physics, and Optics — 140 citations into it; #5,595 of 7,135 by trust here, #2,138 by citations
- Electrical and Electronic Engineering — 41 citations into it
- Generative Models — 18 citations into it
- Computational Chemistry & Drug Discovery — 13 citations into it
Whom Mario Krenn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- David Weininger
- Noam Chomsky
- Teuvo Kohonen
- Geoffrey E. Hinton
- Yoshua Bengio
- Max Welling
- Ian J. Goodfellow
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Mario Krenn overall
- Seyone Chithrananda
- Jerret Ross
- Carl N. Edwards
- Kexin Huang
- Manuel Erhard
- Gabriel Grand
- Yijie Shen
- Tianfan Fu
Papers from Mario Krenn's perspective
Ordered by how strongly the researchers Mario Krenn trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- On scientific understanding with artificial intelligence (2022) — 320 citations
- Communication with spatially modulated light through turbulent air across Vienna (2014) — 490 citations
- Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation (2019) — 957 citations
- Data-Driven Strategies for Accelerated Materials Design (2021) — 369 citations
- Advances in high-dimensional quantum entanglement (2019) — 596 citations
- Twisted photons: new quantum perspectives in high dimensions (2017) — 611 citations
- Multi-photon entanglement in high dimensions (2015) — 372 citations
- Quantum Entanglement of High Angular Momenta (2012) — 743 citations