activity
20242026
collaborators

7 papers

cs.IT2026

Structure of kissing arrangements in and a place for the st sphere

Rustem Takhanov, Zhenisbek Assylbekov, Stanislav Yun

Most currently known kissing arrangements of size in share a common structure. They consist of vectors supported on , an…

cs.IT2026

Classification of independent sets in signed Johnson graphs and applications to kissing arrangements

Rustem Takhanov, Stanislav Yun

Johnson graph are a family of graphs that play an important role in the theory of constant-weight codes, extremal combinatorics, and combinatorial geometry. We study signed analogu…

cs.LG2026

Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding

Rustem Takhanov, Zhenisbek Assylbekov

Conditionally positive definite (CPD) kernels are defined with respect to a function class . It is well known that such a kernel is associated with its native spac…

cs.LG2026

On the Intrinsic Dimensions of Data in Kernel Learning

Rustem Takhanov

The manifold hypothesis suggests that the generalization performance of machine learning methods improves significantly when the intrinsic dimension of the input distribution's sup…

stat.ML2026

Deep Linear Discriminant Analysis Revisited

Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov +1

We show that for unconstrained Deep Linear Discriminant Analysis (LDA) classifiers, maximum-likelihood training admits pathological solutions in which class means drift together, c…

cs.LG2025

The informativeness of the gradient revisited

Rustem Takhanov

In the past decade gradient-based deep learning has revolutionized several applications. However, this rapid advancement has highlighted the need for a deeper theoretical understan…