Dmitry Baranchuk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading. | Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky |
| 2025 | ICML | Inverse Bridge Matching Distillation. | Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin |
| 2025 | KDD | YaART: Yet Another ART Rendering Technology. | Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov |
| 2024 | CVPR | Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. | Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko |
| 2023 | ACL | Petals: Collaborative Inference and Fine-tuning of Large Models. | Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Maksim Riabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel |
| 2023 | ICCV | DeDrift: Robust Similarity Search under Content Drift. | Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz |
| 2023 | ICML | TabDDPM: Modelling Tabular Data with Diffusion Models. | Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko |
| 2022 | ICLR | Label-Efficient Semantic Segmentation with Diffusion Models. | Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko |
| 2022 | ICLR | Graph-based Nearest Neighbor Search in Hyperbolic Spaces. | Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov |
| 2020 | AISTATS | GP-VAE: Deep Probabilistic Time Series Imputation. | Vincent Fortuin, Dmitry Baranchuk, Gunnar Rtsch, Stephan Mandt |
| 2019 | ICML | Learning to Route in Similarity Graphs. | Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko |
| 2018 | ECCV | Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. | Dmitry Baranchuk, Artem Babenko, Yury Malkov |