Lars Hertel
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Generative Models — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Lars Hertel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Michael I. Jordan
- Danilo Jimenez Rezende
- Max Welling
- Aäron van den Oord
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Jimmy Ba
- Yoshua Bengio
- Alex Krizhevsky
Who trusts Lars Hertel overall
Papers from Lars Hertel's perspective
Ordered by how strongly the researchers Lars Hertel trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report (2021) — 177 citations
- Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics (2020) — 359 citations
- Volume I. Introduction to DUNE (2020) — 204 citations
- Long-baseline neutrino oscillation physics potential of the DUNE experiment (2020) — 249 citations
- Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume IV Far Detector Single-phase Technology (2020) — 153 citations
- Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment (2020) — 182 citations
- Approximate Inference for Deep Latent Gaussian Mixtures (2016) — 100 citations