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Dmitry P. Vetrov

14 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

NeurIPS ×4ICML ×3AAAI ×2AISTATS ×2CVPR ×1ECCV ×1ICLR ×1

Frequent coauthors

Grigory Bartosh
×4
Viacheslav Meshchaninov
×3
Christian Andersson Naesseth
×3
Aibek Alanov
×3
Egor Chimbulatov
×2
Alexander Shabalin
×2
Nikita Morozov
×2
Vadim Titov
×2
Evgeniia Vu
×1
Andrei Boiarov
×1
Aleksandr Abramov
×1
Pavel V. Strashnov
×1

Papers

  1. Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
    AAAI 2026 ·
    Evgeniia Vu
    ,
    Andrei Boiarov
    , Dmitry P. Vetrov
  2. Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
    NeurIPS 2025 ·
    Viacheslav Meshchaninov
    ,
    Egor Chimbulatov
    ,
    Alexander Shabalin
    ,
    Aleksandr Abramov
    , Dmitry P. Vetrov
  3. Diffusion on Language Model Encodings for Protein Sequence Generation
    ICML 2025 ·
    Viacheslav Meshchaninov
    ,
    Pavel V. Strashnov
    ,
    Andrey Shevtsov
    ,
    Fedor Nikolaev
    ,
    Nikita Ivanisenko
    ,
    Olga L. Kardymon
    , Dmitry P. Vetrov
  4. SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
    ICML 2025 ·
    Grigory Bartosh
    , Dmitry P. Vetrov,
    Christian A. Naesseth
  5. TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
    AAAI 2025 ·
    Alexander Shabalin
    ,
    Viacheslav Meshchaninov
    ,
    Egor Chimbulatov
    ,
    Vladislav Lapikov
    ,
    Roman Kim
    ,
    Grigory Bartosh
    ,
    Dmitry Molchanov
    ,
    Sergey Markov
    , Dmitry P. Vetrov
  6. Differentiable Rendering with Reparameterized Volume Sampling
    AISTATS 2024 ·
    Nikita Morozov
    ,
    Denis Rakitin
    ,
    Oleg Desheulin
    , Dmitry P. Vetrov,
    Kirill Struminsky
  7. Generative Flow Networks as Entropy-Regularized RL
    AISTATS 2024 ·
    Daniil Tiapkin
    ,
    Nikita Morozov
    ,
    Alexey Naumov
    , Dmitry P. Vetrov
  8. Gradual Optimization Learning for Conformational Energy Minimization
    ICLR 2024 ·
    Artem Tsypin
    ,
    Leonid Ugadiarov
    ,
    Kuzma Khrabrov
    ,
    Alexander Telepov
    ,
    Egor Rumiantsev
    ,
    Alexey Skrynnik
    ,
    Aleksandr Panov
    , Dmitry P. Vetrov,
    Elena Tutubalina
    ,
    Artur Kadurin
  9. Guide-and-Rescale: Self-guidance Mechanism for Effective Tuning-Free Real Image Editing
    ECCV 2024 ·
    Vadim Titov
    ,
    Madina Khalmatova
    ,
    Alexandra Ivanova
    , Dmitry P. Vetrov,
    Aibek Alanov
  10. HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
    NeurIPS 2024 ·
    Maxim Nikolaev
    ,
    Mikhail Kuznetsov
    , Dmitry P. Vetrov,
    Aibek Alanov
  11. Neural Diffusion Models
    ICML 2024 ·
    Grigory Bartosh
    , Dmitry P. Vetrov,
    Christian A. Naesseth
  12. Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
    NeurIPS 2024 ·
    Grigory Bartosh
    , Dmitry P. Vetrov,
    Christian Andersson Naesseth
  13. The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
    CVPR 2024 ·
    Denis Bobkov
    ,
    Vadim Titov
    ,
    Aibek Alanov
    , Dmitry P. Vetrov
  14. Where Do Large Learning Rates Lead Us?
    NeurIPS 2024 ·
    Ildus Sadrtdinov
    ,
    Maxim Kodryan
    ,
    Eduard Pokonechny
    ,
    Ekaterina Lobacheva
    , Dmitry P. Vetrov