Avanti Athreya

Statistical and Nonlinear Physics · 2011–2026

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 36 citations into it
• Statistics and Probability — 29 citations into it
• Mathematical Physics — 11 citations into it
• Geometry and Topology — 10 citations into it
• Graph Learning — 8 citations into it
• Discrete Mathematics and Combinatorics — 6 citations into it
• Applied Mathematics — 5 citations into it

Whom Avanti Athreya trusts overall

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

1. Miroslav Fiedler
2. Sourav Chatterjee
3. Joel A. Tropp
4. Roberto Imbuzeiro Oliveira
5. Santo Fortunato
6. Minh Tang
7. Daniel Lewis Sussman
8. Jonathan C. Mattingly
9. Hirotugu Akaike
10. Alan M. Frieze

Who trusts Avanti Athreya overall

1. Hayden S. Helm
2. Minh Tang
3. Carey E. Priebe

Papers from Avanti Athreya's perspective

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

1. Estimating the Dimension of a Model
2. A tutorial on spectral clustering
3. On the evolution of random graphs
4. Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure
5. 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)
6. Mixed Membership Stochastic Blockmodels
7. Stochastic blockmodels: First steps
8. Algebraic connectivity of graphs
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

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)
• Recovering manifold structure in LLM responses through a joint Euclidean mirror (2026)
• Gaussian mixture models as a proxy for interacting language models (2025)
• Discovering a change point in a time series of organoid networks via the iso-mirror (2023)
• Propagating Lyapunov functions to prove noise-induced stabilization (2011) — 54 citations