Vince Lyzinski
Statistical and Nonlinear Physics · 2013–2026
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 38 citations into it
- Statistics and Probability — 23 citations into it
- Geometry and Topology — 10 citations into it
- Graph Learning — 10 citations into it
- Algorithms & Complexity — 5 citations into it
- Discrete Mathematics and Combinatorics — 5 citations into it
Whom Vince Lyzinski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Vince Lyzinski's perspective
Ordered by how strongly the researchers Vince Lyzinski trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- A tutorial on spectral clustering
- Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure
- A nonparametric view of network models and Newman–Girvan and other modularities (Proceedings of the National Academy of Sciences of the United States of America)
- On the evolution of random graphs
- Mixed Membership Stochastic Blockmodels
- Stochastic blockmodels: First steps
- Algebraic connectivity of graphs
- Stochastic blockmodels and community structure in networks
- Community detection in graphs
Their papers
- A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs (2013) — 125 citations
- Statistical Inference on Random Dot Product Graphs: a Survey (2017) — 290 citations
- A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference (2017)
- Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models (2026)
- Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) (2025)
- Gaussian mixture models as a proxy for interacting language models (2025)