Hessam Babaee

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #22,070 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Hessam Babaee trusts overall

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

1. Michalis K. Titsias
2. James Hensman
3. Christopher K. I. Williams
4. Radford M. Neal
5. Neil D. Lawrence

Who trusts Hessam Babaee overall

1. Maizar Raissi
2. G. Em Karniadakis

Papers from Hessam Babaee's perspective

Ordered by how strongly the researchers Hessam Babaee 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. The Nature of Statistical Learning Theory
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Stochastic variational inference
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Variational Learning of Inducing Variables in Sparse Gaussian Processes
10. Machine learning - a probabilistic perspective

Their papers

• Parametric Gaussian process regression for big data (2017) — 41 citations