Lars Lorch

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Causal Inference & Discovery — 9 citations into it
• Statistics and Probability — 9 citations into it

Whom Lars Lorch trusts overall

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

1. Mikko Koivisto
2. Dan Geiger
3. Radford M. Neal
4. Nir Friedman
5. Max Welling
6. David Maxwell Chickering
7. Tom L. Burr
8. David E. Heckerman
9. Tom Fawcett
10. Alan M. Frieze

Who trusts Lars Lorch overall

1. Tristan Deleu

Papers from Lars Lorch's perspective

Ordered by how strongly the researchers Lars Lorch 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Listening to bluetooth beacons for epidemic risk mitigation (2021) — 15 citations
• DiBS: Differentiable Bayesian Structure Learning (2021) — 135 citations