Dmitry Baranchuk
Dmitry Baranchuk
Yandex Research
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Zitiert von
Zitiert von
Label-Efficient Semantic Segmentation with Diffusion Models
D Baranchuk, I Rubachev, A Voynov, V Khrulkov, A Babenko
arXiv preprint arXiv:2112.03126, 2021
GP-VAE: Deep Probabilistic Time Series Imputation
V Fortuin, D Baranchuk, G Rätsch, S Mandt
arXiv preprint arXiv:1907.04155, 2019
Tabddpm: Modelling tabular data with diffusion models
A Kotelnikov, D Baranchuk, I Rubachev, A Babenko
International Conference on Machine Learning, 17564-17579, 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
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
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
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
Towards Similarity Graphs Constructed by Deep Reinforcement Learning
D Baranchuk, A Babenko
arXiv preprint arXiv:1911.12122, 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
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
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
GP-VAE: Deep probabilistic multivariate time series imputation
V Fortuin, D Baranchuk, G Rätsch, S Mandt
Proc. AISTATS, 1651-1661, 0
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
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
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
L Prokhorenkova, D Baranchuk, N Bogachev, Y Demidovich, A Kolpakov
International Conference on Learning Representations, 2021
Discovering Weight Initializers with Meta Learning
D Baranchuk, A Babenko
8th ICML Workshop on Automated Machine Learning (AutoML), 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
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