activity
20242026
most citedFast Geometric Embedding for Node Influence Maximization

1 citations · 1 across the 4 of their papers we have counts for

collaborators

10 papers

math.GT2026

Random Knots via Stiefel manifolds

Alexander Kolpakov, Igor Rivin

A fixed simplex, randomly projected into three dimensions and joined in Hamiltonian order, produces a rich and unusually tractable model of random stick knots. We prove that Gaussi…

math.GT2026

Discriminant Varieties for Stick Knots and Links

Alexander Kolpakov, Igor Rivin

How many knot types can be built from a fixed budget of straight sticks? We prove that the answer has factorial-scale growth, settling its order for the first time. No previously p…

cs.LG2026

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

Alexander Kolpakov, Igor Rivin

Dimensionality reduction methods such as UMAP and t-SNE are central tools for visualising high-dimensional data, but their local-neighborhood objectives can preserve sampling noise…

cs.SI20261 cited

Fast Geometric Embedding for Node Influence Maximization

Alexander Kolpakov, Igor Rivin

Computing classical centrality measures such as betweenness and closeness is computationally expensive on large-scale graphs. In this work, we introduce an efficient force layout a…

cs.IT2026

Lagrangians, Renormalization, and Quantization in Prefix Coding

Alexander Kolpakov, Aidan Rocke

We develop a statistical mechanics framework for prefix coding based on variational principles, renormalization, and quantization. A Lagrangian formulation of entropy-optimal encod…

cs.IT2025

Benford's Law from Turing Ensembles and Integer Partitions

Alexander Kolpakov, Aidan Rocke

We develop two complementary generative mechanisms that explain when and why Benford's first-digit law arises. First, a probabilistic Turing machine (PTM) ensemble induces a geomet…