Nikita Gushchin

According to our database, Nikita Gushchin authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Midpoint Generative Models.

Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy, Dmitry V. Dylov, Alexander Korotin

CoRR, May, 2026

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space.

Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov, Nikita Gushchin, Ilya Koziev, Alexander Korotin, Dmitry P. Vetrov

CoRR, May, 2026

IDLM: Inverse-distilled Diffusion Language Models.

David Li, Nikita Gushchin, Dmitry Abulkhanov, Eric Moulines, Ivan V. Oseledets, Maxim Panov, Alexander Korotin

CoRR, February, 2026

Variational Entropic Optimal Transport.

Roman Dyachenko, Nikita Gushchin, Kirill Sokolov, Petr Mokrov, Evgeny Burnaev, Alexander Korotin

CoRR, February, 2026

2025

Time-Correlated Video Bridge Matching.

Viacheslav Vasilev, Arseny Ivanov, Nikita Gushchin, Maria Kovaleva, Alexander Korotin

CoRR, October, 2025

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs).

Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin

CoRR, September, 2025

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation.

Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin

CoRR, March, 2025

InfoBridge: Mutual Information estimation via Bridge Matching.

Sergei Kholkin, Ivan Butakov, Evgeny Burnaev, Nikita Gushchin, Alexander Korotin

CoRR, February, 2025

Inverse Bridge Matching Distillation.

Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting.

Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Evgeny Burnaev, Alexander Korotin

CoRR, 2024

Adversarial Schrödinger Bridge Matching.

Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Light and Optimal Schrödinger Bridge Matching.

Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Energy-guided Entropic Neural Optimal Transport.

Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Light Schrödinger Bridge.

Alexander Korotin, Nikita Gushchin, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark.

Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropic Neural Optimal Transport via Diffusion Processes.

Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023