Peter Berger

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Peter Berger trusts overall

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

1. Aliaksei Sandryhaila
2. Stephen P. Boyd
3. Xiaowen Dong
4. Euhanna Ghadimi
5. David I. Shuman
6. José M. F. Moura
7. Lieven Vandenberghe
8. Ali Akbar Ghorbani
9. Pascal Frossard
10. Vassilis Kalofolias

Papers from Peter Berger's perspective

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

1. Discrete Signal Processing on Graphs
2. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
3. Label Propagation through Linear Neighborhoods
4. Network Topology Inference from Spectral Templates (IEEE Transactions on Signal and Information Processing over Networks)
5. How to Learn a Graph from Smooth Signals
6. Learning Laplacian Matrix in Smooth Graph Signal Representations
7. Graph construction and b-matching for semi-supervised learning (International Conference on Machine Learning)
8. Convex Optimization
9. Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems (IEEE Transactions on Automatic Control)
10. Weighted PageRank algorithm (Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004.)

Their papers

• Graph Learning Based on Total Variation Minimization (2018) — 10 citations