| Label-Efficient Semantic Segmentation with Diffusion Models D Baranchuk, I Rubachev, A Voynov, V Khrulkov, A Babenko arXiv preprint arXiv:2112.03126, 2021 | 319 | 2021 |
| GP-VAE: Deep Probabilistic Time Series Imputation V Fortuin, D Baranchuk, G Rätsch, S Mandt arXiv preprint arXiv:1907.04155, 2019 | 253* | 2019 |
| Tabddpm: Modelling tabular data with diffusion models A Kotelnikov, D Baranchuk, I Rubachev, A Babenko International Conference on Machine Learning, 17564-17579, 2023 | 91 | 2023 |
| Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors D Baranchuk, A Babenko, Y Malkov The European Conference on Computer Vision (ECCV), 202-216, 2018 | 86 | 2018 |
| Results of the NeurIPS’21 challenge on billion-scale approximate nearest neighbor search HV Simhadri, G Williams, M Aumüller, M Douze, A Babenko, D Baranchuk, ... NeurIPS 2021 Competitions and Demonstrations Track, 177-189, 2022 | 37 | 2022 |
| Learning to Route in Similarity Graphs D Baranchuk, D Persiyanov, A Sinitsin, A Babenko Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019 | 32 | 2019 |
| Petals: Collaborative inference and fine-tuning of large models A Borzunov, D Baranchuk, T Dettmers, M Ryabinin, Y Belkada, ... arXiv preprint arXiv:2209.01188, 2022 | 28 | 2022 |
| Towards Similarity Graphs Constructed by Deep Reinforcement Learning D Baranchuk, A Babenko arXiv preprint arXiv:1911.12122, 2019 | 12 | 2019 |
| Distributed Inference and Fine-tuning of Large Language Models Over The Internet A Borzunov, M Ryabinin, A Chumachenko, D Baranchuk, T Dettmers, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Dedrift: Robust similarity search under content drift D Baranchuk, M Douze, Y Upadhyay, IZ Yalniz Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models N Starodubcev, D Baranchuk, V Khrulkov, A Babenko arXiv preprint arXiv:2304.04344, 2023 | 1 | 2023 |
| Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models N Starodubcev, A Fedorov, A Babenko, D Baranchuk arXiv preprint arXiv:2312.10835, 2023 | | 2023 |
| Method and a server for generating a waveform VV Kirichenko, AA Molchanov, DM Chernenkov, AV Babenko, VA Aliev, ... US Patent App. 17/828,592, 2022 | | 2022 |
| Graph-based Nearest Neighbor Search in Hyperbolic Spaces L Prokhorenkova, D Baranchuk, N Bogachev, Y Demidovich, A Kolpakov International Conference on Learning Representations, 2021 | | 2021 |
| Discovering Weight Initializers with Meta Learning D Baranchuk, A Babenko 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | | 2021 |
| Distilling the Knowledge from Conditional Normalizing Flows D Baranchuk, V Aliev, A Babenko ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021 | | 2021 |
