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ORCIDDmitry Baranchuk
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2020 – today
- 2024
[c11]Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko:
Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CVPR 2024: 9275-9285- [i15]Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk:
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. CoRR abs/2406.14539 (2024) - [i14]Vage Egiazarian, Denis Kuznedelev, Anton Voronov, Ruslan Svirschevski, Michael Goin, Daniil Pavlov, Dan Alistarh, Dmitry Baranchuk:
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization. CoRR abs/2409.00492 (2024) - [i13]Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber, Matthijs Douze, George Williams, Magdalen Dobson Manohar, Dmitry Baranchuk, Edo Liberty, Frank Liu, Benjamin Landrum, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng, Zihao Wan, Jie Yin, Ben Huang:
Results of the Big ANN: NeurIPS'23 competition. CoRR abs/2409.17424 (2024) - 2023
- [c10]Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Maksim Riabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel:
Petals: Collaborative Inference and Fine-tuning of Large Models. ACL (demo) 2023: 558-568 - [c9]Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz:
DeDrift: Robust Similarity Search under Content Drift. ICCV 2023: 10992-11001 - [c8]Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko:
TabDDPM: Modelling Tabular Data with Diffusion Models. ICML 2023: 17564-17579 - [c7]Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A. Raffel:
Distributed Inference and Fine-tuning of Large Language Models Over The Internet. NeurIPS 2023 - [i12]Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko:
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR abs/2304.04344 (2023) - [i11]Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz:
DeDrift: Robust Similarity Search under Content Drift. CoRR abs/2308.02752 (2023) - [i10]Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin Raffel:
Distributed Inference and Fine-tuning of Large Language Models Over The Internet. CoRR abs/2312.08361 (2023) - [i9]Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk:
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CoRR abs/2312.10835 (2023) - 2022
- [c6]Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. ICLR 2022 - [c5]Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov:
Graph-based Nearest Neighbor Search in Hyperbolic Spaces. ICLR 2022 - [i8]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:
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR abs/2205.03763 (2022) - [i7]Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Max Ryabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel:
Petals: Collaborative Inference and Fine-tuning of Large Models. CoRR abs/2209.01188 (2022) - [i6]Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko:
TabDDPM: Modelling Tabular Data with Diffusion Models. CoRR abs/2209.15421 (2022) - 2021
- [c4]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:
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. NeurIPS (Competition and Demos) 2021: 177-189 - [i5]Dmitry Baranchuk, Vladimir Aliev, Artem Babenko:
Distilling the Knowledge from Normalizing Flows. CoRR abs/2106.12699 (2021) - [i4]Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. CoRR abs/2112.03126 (2021) - 2020
- [c3]Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, Stephan Mandt:
GP-VAE: Deep Probabilistic Time Series Imputation. AISTATS 2020: 1651-1661
2010 – 2019
- 2019
- [c2]Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko:
Learning to Route in Similarity Graphs. ICML 2019: 475-484 - [i3]Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko:
Learning to Route in Similarity Graphs. CoRR abs/1905.10987 (2019) - [i2]Dmitry Baranchuk, Artem Babenko:
Towards Similarity Graphs Constructed by Deep Reinforcement Learning. CoRR abs/1911.12122 (2019) - 2018
- [c1]Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. ECCV (12) 2018: 209-224 - [i1]Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. CoRR abs/1802.02422 (2018)
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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