Distributed Generation of Billion-node Social Graphs with Overlapping Community Structure. - Kyrylo Chykhradze; Anton Korshunov; Nazar Buzun; Roman Pastukhov; Nikolay N. Kuzyurin; Denis Turdakov; Hangkyu Kim (CompleNet, 2014)

EgoLP: Fast and Distributed Community Detection in Billion-Node Social Networks. - Nazar Buzun; Anton Korshunov; Valeriy Avanesov; Ilya Filonenko; Ilya Kozlov; Denis Turdakov; Hangkyu Kim (ICDM Workshops, 2014)

Unsupervised non-parametric change point detection in electrocardiography. - Nikolay Shvetsov; Nazar Buzun; Dmitry V. Dylov (SSDBM, 2020)

Unsupervised non-parametric change point detection in quasi-periodic signals. - Nikolay Shvetsov; Nazar Buzun; Dmitry V. Dylov (CoRR, 2020)

Data Augmentation with Manifold Barycenters. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; Dmitry V. Dylov (CoRR, 2021)

Strong Gaussian Approximation for the Sum of Random Vectors. - Nazar Buzun; Nikolay Shvetsov; Dmitry V. Dylov (COLT, 2022)

Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes. - Artyom Y. Sorokin; Nazar Buzun; Leonid Pugachev; Mikhail Burtsev 001 (NeurIPS, 2022)

LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; Dmitry V. Dylov (IEEE Access, 2022)

BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction. - Iaroslav Bespalov; Nazar Buzun; Dmitry V. Dylov (Pattern Recognit., 2022)

Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. - Nazar Buzun; Maksim Bobrin; Dmitry V. Dylov (NeurIPS, 2024)

Align Your Intents: Offline Imitation Learning via Optimal Transport. - Maksim Bobrin; Nazar Buzun; Dmitrii Krylov; Dmitry V. Dylov (CoRR, 2024)

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. - Nazar Buzun; Maksim Bobrin; Dmitry V. Dylov (CoRR, 2024)

HOTA: Hamiltonian framework for Optimal Transport Advection. - Nazar Buzun; Daniil Shlenskii; Maxim Bobrin; Dmitry V. Dylov (CoRR, 2025)