Gal Mishne

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Molecular Biology — 10 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Graph Learning — 5 citations into it

Whom Gal Mishne trusts overall

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

1. Marina Meila
2. Ronald R. Coifman
3. Byoung-Kee Yi
4. Ulrike von Luxburg
5. Matan Gavish
6. Idan Ram
7. L. V. D. van der Maaten
8. Sunil Arya
9. Nauman Shahid
10. Mikhail Belkin

Who trusts Gal Mishne overall

1. George C. Linderman
2. M. Rachh
3. Jeremy G. Hoskins

Papers from Gal Mishne's perspective

Ordered by how strongly the researchers Gal Mishne 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. Visualizing Data using t-SNE
4. A tutorial on spectral clustering
5. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Diffusion maps
9. Long Short-Term Memory
10. The Laplacian Pyramid as a Compact Image Code

Their papers

• Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science (2017) — 17 citations
• Data-Driven Tree Transforms and Metrics (2017) — 23 citations