Benjamin Ricaud
Artificial Intelligence · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #15,175 of 35,345 by trust here, #19,439 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Statistical and Nonlinear Physics — 11 citations into it; #3,604 of 10,127 by trust here, #4,137 by citations
- Graph Learning — 9 citations into it; #330 of 693 by trust here, #485 by citations
- Applied Mathematics — 7 citations into it
- Media Technology — 5 citations into it
Whom Benjamin Ricaud trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aliaksei Sandryhaila
- David K. Hammond
- José M. F. Moura
- Pierre Vandergheynst
- David I. Shuman
- Stéphane Mallat
Who trusts Benjamin Ricaud overall
- Davide Boscaini
- Jonathan Masci
- Nathanael Perraudin
- Stefan C. Schonsheck
- Michael M. Bronstein
- Gonzalo Mateos
- Claire Donnat
- Emanuele Rodolà
Papers from Benjamin Ricaud's perspective
Ordered by how strongly the researchers Benjamin Ricaud trusts endorse each paper. Same corpus, a different order for every researcher.
- A tutorial on spectral clustering
- Wavelets on Graphs via Spectral Graph Theory
- The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
- Discrete Signal Processing on Graphs
- Diffusion Wavelets
- Graph wavelets for spatial traffic analysis
- Discrete Signal Processing on Graphs: Frequency Analysis (IEEE Transactions on Signal Processing)
- Semi-Supervised Learning
- Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing (IEEE Transactions on Image Processing)
- Signals on Graphs: Uncertainty Principle and Sampling (IEEE Transactions on Signal Processing)
Their papers
- Vertex-Frequency Analysis on Graphs (2013) — 407 citations
- Global and Local Uncertainty Principles for Signals on Graphs (2016) — 73 citations