Bruno Jacobs

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Marketing — 14 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Information Systems — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Economics and Econometrics — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Bruno Jacobs trusts overall

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

1. David M. Blei
2. Radford M. Neal
3. Jeffrey S. Rosenthal
4. Florian Heiss
5. Matthew D. Hoffman
6. David Mimno
7. Michael I. Jordan
8. T. Griffiths
9. Andrew Y. Ng
10. Peter M. Guadagni

Who trusts Bruno Jacobs overall

1. Rob Donnelly
2. Francisco J. R. Ruiz

Papers from Bruno Jacobs's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Model-Based Purchase Predictions for Large Assortments (2016) — 125 citations
• Understanding Large-Scale Dynamic Purchase Behavior (2020) — 28 citations