Alexander Grigorevskiy

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Alexander Grigorevskiy trusts overall

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

1. Andrew Gordon Wilson
2. Hannes Nickisch
3. Carl E. Rasmussen
4. Tom Heskes Onno Zoeter
5. Manfred Opper
6. Edward Snelson
7. Matthias W. Seeger
8. Simo Särkkä
9. Jouni Hartikainen

Papers from Alexander Grigorevskiy's perspective

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

1. Expectation Propagation for approximate Bayesian inference
2. Sparse Gaussian Processes using Pseudo-inputs
3. The Variational Gaussian Approximation Revisited
4. Gaussian Processes for Big Data
5. Assessing Approximate Inference for Binary Gaussian Process Classification (Journal of machine learning research)
6. Approximations for Binary Gaussian Process Classification
7. Bayesian Classification With Gaussian Processes
8. Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

• State Space Gaussian Processes with Non-Gaussian Likelihood (2018) — 35 citations