Matérn Gaussian Processes on Graphs. - Viacheslav Borovitskiy; Iskander Azangulov; Alexander Terenin; Peter Mostowsky; Marc Peter Deisenroth; Nicolas Durrande (AISTATS, 2021)

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case. - Iskander Azangulov; Andrei Smolensky; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2022)

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. - Iskander Azangulov; Andrei Smolensky; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2023)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. - Peter Mostowsky; Vincent Dutordoir; Iskander Azangulov; Noémie Jaquier; Michael John Hutchinson; Aditya Ravuri; Leonel Rozo; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2024)

Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions. - Iskander Azangulov; George Deligiannidis; Judith Rousseau (CoRR, 2024)

Linear Convergence of Diffusion Models Under the Manifold Hypothesis. - Peter Potaptchik; Iskander Azangulov; George Deligiannidis (COLT, 2025)

Adaptive Diffusion Guidance via Stochastic Optimal Control. - Iskander Azangulov; Peter Potaptchik; Qinyu Li; Eddie Aamari; George Deligiannidis; Judith Rousseau (CoRR, 2025)