Dmitry Baranchuk

According to our database, Dmitry Baranchuk authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models.

Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk

CoRR, 2023

Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models.

Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko

CoRR, 2023

Distributed Inference and Fine-tuning of Large Language Models Over The Internet.

Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A. Raffel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TabDDPM: Modelling Tabular Data with Diffusion Models.

Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko

Proceedings of the International Conference on Machine Learning, 2023

DeDrift: Robust Similarity Search under Content Drift.

Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Petals: Collaborative Inference and Fine-tuning of Large Models.

Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Max Ryabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel

CoRR, 2022

Graph-based Nearest Neighbor Search in Hyperbolic Spaces.

Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov

Proceedings of the Tenth International Conference on Learning Representations, 2022

Label-Efficient Semantic Segmentation with Diffusion Models.

Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Distilling the Knowledge from Normalizing Flows.

Dmitry Baranchuk, Vladimir Aliev, Artem Babenko

CoRR, 2021

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search.

Harsha Vardhan Simhadri, George Williams, Martin Aumüller, Matthijs Douze, Artem Babenko, Dmitry Baranchuk, Qi Chen, Lucas Hosseini, Ravishankar Krishnaswamy, Gopal Srinivasa, Suhas Jayaram Subramanya, Jingdong Wang

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

GP-VAE: Deep Probabilistic Time Series Imputation.

Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, Stephan Mandt

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Towards Similarity Graphs Constructed by Deep Reinforcement Learning.

Dmitry Baranchuk, Artem Babenko

CoRR, 2019

Learning to Route in Similarity Graphs.

Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors.

Dmitry Baranchuk, Artem Babenko, Yury Malkov

Proceedings of the Computer Vision - ECCV 2018, 2018