NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (23)

cs.LG2024

Rethinking Optimal Transport in Offline Reinforcement Learning

Arip Asadulaev, Rostislav Korst, Alexander Korotin +3

cs.LG2020

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning

Gideon Stein, Andrey Filchenkov, Arip Asadulaev

cs.CY2019

Backronym

Arip Asadulaev

cs.LG2026

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization

Mikhail Persiianov, Arip Asadulaev, Nikita Andreev +5

cs.LG2026

Zero-Shot Off-Policy Learning

Arip Asadulaev, Maksim Bobrin, Salem Lahlou +3

cs.LG2022

Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

cs.LG2026

Dual Advantage Fields

Alexey Zemtsov, Maxim Bobrin, Alexander Nikulin +5

cs.LG2026

Value-Gradient Hypothesis of RL for LLMs

Arip Asadulaev, Daniil Ognev, Karim Salta +1

cs.LG2022

Adversarial Training Improves Joint Energy-Based Generative Modelling

Rostislav Korst, Arip Asadulaev

cs.CL2026

Latent Reasoning in TRMs is Secretly a Policy Improvement Operator

Arip Asadulaev, Rayan Banerjee, Fakhri Karray +1

cs.CE2026

Zero-shot adaptation to order book dynamics

Arip Asadulaev

cs.LG2020

Conditioning of Reinforcement Learning Agents and its Policy Regularization Application

Arip Asadulaev, Igor Kuznetsov, Gideon Stein +1

cs.LG2019

Interpretable Few-Shot Learning via Linear Distillation

Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov

cs.LG2022

Connecting adversarial attacks and optimal transport for domain adaptation

Arip Asadulaev, Vitaly Shutov, Alexander Korotin +2

cs.LG2020

Wasserstein-2 Generative Networks

Alexander Korotin, Vage Egiazarian, Arip Asadulaev +2

cs.LG2022

Easy Batch Normalization

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

cs.SD2024

Optimal Transport Maps are Good Voice Converters

Arip Asadulaev, Rostislav Korst, Vitalii Shutov +4

cs.LG2025

Expert or not? assessing data quality in offline reinforcement learning

Arip Asadulaev, Fakhri Karray, Martin Takac

cs.LG2024

Neural Optimal Transport with General Cost Functionals

Arip Asadulaev, Alexander Korotin, Vage Egiazarian +2

cs.LG2026

Sparse Scheduled Diffusion Guidance for Inverse Problems

Abduragim Shtanchaev, Albina Ilina, Yazid Janati +3

cs.LG2026

Convex Compositional Reasoning Models

Meir Roketlishvili, Semyon Semenov, Maksim Bobrin +7

cs.LG2026

Y-Shaped Generative Flows

Arip Asadulaev, Semyon Semenov, Abduragim Shtanchaev +3

cs.LG2025

Light Unbalanced Optimal Transport

Milena Gazdieva, Arip Asadulaev, Alexander Korotin +1