Adler J. Perotte
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Probabilistic & Bayesian Methods — 15 citations into it
- Statistics and Probability — 10 citations into it
- Causal Inference & Discovery — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Generative Models — 5 citations into it
Whom Adler J. Perotte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rajesh Ranganath
- Diederik P. Kingma
- Ronald J. Williams
- David M. Blei
- Danilo Jimenez Rezende
- Radford M. Neal
- Michael I. Jordan
- Jennifer L. Hill
- Max Welling
- Geoffrey E. Hinton
Who trusts Adler J. Perotte overall
Papers from Adler J. Perotte's perspective
Ordered by how strongly the researchers Adler J. Perotte 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)
- Long Short-Term Memory
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multiple Causal Inference with Latent Confounding (2018) — 52 citations
- Deep Survival Analysis (2016)