Jesse Windle

Artificial Intelligence

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #8,218 of 35,345 by trust here, #17,776 by citations

Whom Jesse Windle trusts overall

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

1. David M. Blei

Who trusts Jesse Windle overall

1. Alain Oliviero Durmus
2. Scott W. Linderman
3. Eric Moulines
4. Yves F. Atchadé
5. Théo Galy-Fajou
6. Florian Wenzel
7. Jake Snell
8. John Ingraham

Papers from Jesse Windle's perspective

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

1. A correlated topic model of Science
2. Learning Multiple Layers of Features from Tiny Images
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Regression Shrinkage and Selection via the Lasso
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Journal of the American Statistical Association Bayesian Inference for Logistic Models Using Pólya–gamma Latent Variables Bayesian Inference for Logistic Models Using P ´ Olya–gamma Latent Variables — 1,175 citations