Jacobus W. Portegies

Representation & Self-Supervised Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 5 citations into it

Whom Jacobus W. Portegies trusts overall

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

1. Jeff Cheeger
2. Mikhail Belkin
3. Amit Singer
4. Steve Zelditch
5. Partha Niyogi
6. T. Colding
7. Hau-Tieng Wu
8. Alexander Grigorʼyan
9. Sam T. Roweis
10. Zhenyue Zhang

Papers from Jacobus W. Portegies's perspective

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

1. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
2. Nonlinear dimensionality reduction by locally linear embedding.
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Embeddings of Riemannian Manifolds with Heat Kernels and Eigenfunctions (2013) — 59 citations