Research archive

Publications

Papers and accompanying material on neural optimal transport and machine learning.

All papers

Google Scholar

2026

Zero-Shot Off-Policy Learning

A. Asadulaev, M. Bobrin^*, S. Lahlou, D. Dylov, F. Karray, M. Takáč

ICML 2026

Paper

2026

Dual Advantage Fields

A. Zemtsov, M. Bobrin, A. Nikulin, D. V. Dylov, et al.

arXiv:2606.04188

Paper

2026

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM

N. Shvetsov, M. Bobrin, N. Buzun, A. Bozhedarov, D. V. Dylov

arXiv:2605.29906

Paper

2026

Convex Compositional Reasoning Models

M. Roketlishvili, S. Semenov, M. Bobrin, et al.

arXiv:2605.23395

Paper

2025

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

M. Bobrin, I. Zisman, A. Nikulin, V. Kurenkov, D. Dylov

ICLR 2026

Paper OpenReview

2025

Random Direct Preference Optimization for Radiography Report Generation

V. Samokhin, B. Shirokikh, M. Goncharov, D. Umerenkov, M. Bobrin, et al.

MICCAI 2025 Workshop on Foundation Models for General Medical AI

Paper

2025

HOTA: Hamiltonian Framework for Optimal Transport Advection

N. Buzun, D. Shlenskii, M. Bobrin, D. V. Dylov

ICLR 2026

Paper

2024

Ascend HiFloat8 Format for Deep Learning

Y. Luo, Z. Zhang, R. Wu, H. Liu, …, M. Bobrin, et al.

arXiv:2409.16626

Paper

2024

Spotlight paper

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

N. Buzun, M. Bobrin^*, D. V. Dylov

NeurIPS 2024 · Spotlight

Paper OpenReview Project Blog OTT-JAX

2024

Align Your Intents: Offline Imitation Learning via Optimal Transport

M. Bobrin, N. Buzun, D. Krylov, D. V. Dylov

arXiv:2402.13037

Paper

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