Dmitry Baranchuk

38 papers A* 9A 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking Global Text Conditioning in Diffusion Transformers. CoRR Nikita Starodubcev, Daniil Pakhomov, Zongze Wu, Ilya Drobyshevskiy, Yuchen Liu, Zhonghao Wang, Yuqian Zhou, Zhe Lin, Dmitry Baranchuk
2026	J	`jnl`	Revisiting Autoregressive Models for Generative Image Classification. CoRR Ilia Sudakov, Artem Babenko, Dmitry Baranchuk
2025	J	`jnl`	Alchemist: Turning Public Text-to-Image Data into Generative Gold. CoRR Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov, Dmitry Baranchuk, Sergey Kastryulin
2025	J	`jnl`	CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading. CoRR Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky
2025	A*	`conf`	Inverse Bridge Matching Distillation. ICML Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin
2025	J	`jnl`	Inverse Bridge Matching Distillation. CoRR Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin
2025	J	`jnl`	MADrive: Memory-Augmented Driving Scene Modeling. CoRR Polina Karpikova, Daniil Selikhanovych, Kirill Struminsky, Ruslan Musaev, Maria Golitsyna, Dmitry Baranchuk
2025	J	`jnl`	Scale-wise Distillation of Diffusion Models. CoRR Nikita Starodubcev, Denis Kuznedelev, Artem Babenko, Dmitry Baranchuk
2025	—	`conf`	YaART: Yet Another ART Rendering Technology. KDD (1) 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	J	`jnl`	Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization. CoRR Vage Egiazarian, Denis Kuznedelev, Anton Voronov, Ruslan Svirschevski, Michael Goin, Daniil Pavlov, Dan Alistarh, Dmitry Baranchuk
2024	J	`jnl`	Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. CoRR Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
2024	A*	`conf`	Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. NeurIPS Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
2024	J	`jnl`	Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. CoRR Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
2024	J	`jnl`	Results of the Big ANN: NeurIPS'23 competition. CoRR 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
2024	J	`jnl`	Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis. CoRR Anton Voronov, Denis Kuznedelev, Mikhail Khoroshikh, Valentin Khrulkov, Dmitry Baranchuk
2024	A*	`conf`	Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CVPR Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko
2023	A*	`conf`	DeDrift: Robust Similarity Search under Content Drift. ICCV Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz
2023	J	`jnl`	DeDrift: Robust Similarity Search under Content Drift. CoRR Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz
2023	A*	`conf`	Distributed Inference and Fine-tuning of Large Language Models Over The Internet. NeurIPS Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A. Raffel
2023	J	`jnl`	Distributed Inference and Fine-tuning of Large Language Models Over The Internet. CoRR Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin Raffel
2023	—	`conf`	Petals: Collaborative Inference and Fine-tuning of Large Models. ACL (demo) Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Maksim Riabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel
2023	A*	`conf`	TabDDPM: Modelling Tabular Data with Diffusion Models. ICML Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2023	J	`jnl`	Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
2023	J	`jnl`	Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CoRR Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk
2022	A*	`conf`	Graph-based Nearest Neighbor Search in Hyperbolic Spaces. ICLR Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov
2022	A*	`conf`	Label-Efficient Semantic Segmentation with Diffusion Models. ICLR Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2022	J	`jnl`	Petals: Collaborative Inference and Fine-tuning of Large Models. CoRR Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Max Ryabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel
2022	J	`jnl`	Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR 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
2022	J	`jnl`	TabDDPM: Modelling Tabular Data with Diffusion Models. CoRR Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2021	J	`jnl`	Distilling the Knowledge from Normalizing Flows. CoRR Dmitry Baranchuk, Vladimir Aliev, Artem Babenko
2021	J	`jnl`	Label-Efficient Semantic Segmentation with Diffusion Models. CoRR Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
2021	—	`conf`	Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. NeurIPS (Competition and Demos) 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
2020	A	`conf`	GP-VAE: Deep Probabilistic Time Series Imputation. AISTATS Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, Stephan Mandt
2019	A*	`conf`	Learning to Route in Similarity Graphs. ICML Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
2019	J	`jnl`	Learning to Route in Similarity Graphs. CoRR Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
2019	J	`jnl`	Towards Similarity Graphs Constructed by Deep Reinforcement Learning. CoRR Dmitry Baranchuk, Artem Babenko
2018	—	`conf`	Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. ECCV (12) Dmitry Baranchuk, Artem Babenko, Yury Malkov
2018	J	`jnl`	Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. CoRR Dmitry Baranchuk, Artem Babenko, Yury Malkov