Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. - Daria Bakshandaeva; Denis Dimitrov; Alex Shonenkov; Mark Potanin; Vladimir Arkhipkin; Denis Karachev; Vera Davydova; Anton Voronov; Mikhail Martynov; Natalia Semenova; Mikhail Stepnov; Elena Tutubalina; et al. (CoRR, 2021)

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. - Semen A. Budennyy; Vladimir D. Lazarev; Nikita Zakharenko; Alexey N. Korovin; Olga Plosskaya; Denis Dimitrov; Vladimir Arkhipkin; Ivan V. Oseledets; Ivan Barsola; Ilya Egorov; Aleksandra Kosterina; Leonid Zhukov (CoRR, 2022)

Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. - Anton Razzhigaev; Arseniy Shakhmatov; Anastasia Maltseva; Vladimir Arkhipkin; Igor Pavlov; Ilya Ryabov; Angelina Kuts; Alexander Panchenko; Andrey Kuznetsov; Denis Dimitrov (EMNLP (Demos), 2023)

Star-Shaped Denoising Diffusion Probabilistic Models. - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Viktor Ohanesian; Aibek Alanov; Dmitry P. Vetrov (NeurIPS, 2023)

Star-Shaped Denoising Diffusion Probabilistic Models. - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Aibek Alanov; Dmitry P. Vetrov (CoRR, 2023)

FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline. - Vladimir Arkhipkin; Zein Shaheen; Viacheslav Vasilev; Elizaveta Dakhova; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2023)

Kandinsky 3.0 Technical Report. - Vladimir Arkhipkin; Andrei Filatov; Viacheslav Vasilev; Anastasia Maltseva; Said Azizov; Igor Pavlov; Julia Agafonova; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2023)

Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Viktor Ohanesian; Aibek Alanov; Dmitry P. Vetrov (KI, 2024)

Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework. - Vladimir Arkhipkin; Viacheslav Vasilev; Andrei Filatov; Igor Pavlov; Julia Agafonova; Nikolai Gerasimenko; Anna Averchenkova; Evelina Mironova; Anton Bukashkin; Konstantin Kulikov; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2024)

ImproveYourVideos: Architectural Improvements for Text-to-Video Generation Pipeline. - Vladimir Arkhipkin; Zein Shaheen; Viacheslav Vasilev; Elizaveta Dakhova; Konstantin Sobolev; Andrey Kuznetsov; Denis Dimitrov (IEEE Access, 2025)

CRAFT: Cultural Russian-Oriented Dataset Adaptation for Focused Text-to-Image Generation. - Viacheslav Vasilev; Vladimir Arkhipkin; Julia Agafonova; Tatiana Nikulina; Evelina Mironova; Alisa Shichanina; Nikolai Gerasimenko; Mikhail Shoytov; Denis Dimitrov (CoRR, 2025)

VIVAT: Virtuous Improving VAE Training through Artifact Mitigation. - Lev Novitskiy; Viacheslav Vasilev; Maria Kovaleva; Vladimir Arkhipkin; Denis Dimitrov (CoRR, 2025)

∇NABLA: Neighborhood Adaptive Block-Level Attention. - Dmitrii Mikhailov; Alexey Letunovskiy; Maria Kovaleva; Vladimir Arkhipkin; Vladimir Korviakov; Vladimir Polovnikov; Viacheslav Vasilev; Evelina Sidorova; Denis Dimitrov (CoRR, 2025)