Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. - Dmitry Baranchuk; Artem Babenko; Yury Malkov (ECCV (12), 2018)

Learning to Route in Similarity Graphs. - Dmitry Baranchuk; Dmitry Persiyanov; Anton Sinitsin; Artem Babenko (ICML, 2019)

Towards Similarity Graphs Constructed by Deep Reinforcement Learning. - Dmitry Baranchuk; Artem Babenko (CoRR, 2019)

GP-VAE: Deep Probabilistic Time Series Imputation. - Vincent Fortuin; Dmitry Baranchuk; Gunnar Rätsch; Stephan Mandt (AISTATS, 2020)

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. - Harsha Vardhan Simhadri; George Williams; Martin Aumüller 001; Matthijs Douze; Artem Babenko; Dmitry Baranchuk; Qi Chen 009; Lucas Hosseini; Ravishankar Krishnaswamy; Gopal Srinivasa; Suhas Jayaram Subramanya; Jingdong Wang 001 (NeurIPS (Competition and Demos), 2021)

Distilling the Knowledge from Normalizing Flows. - Dmitry Baranchuk; Vladimir Aliev; Artem Babenko (CoRR, 2021)

Label-Efficient Semantic Segmentation with Diffusion Models. - Dmitry Baranchuk; Andrey Voynov; Ivan Rubachev; Valentin Khrulkov; Artem Babenko (ICLR, 2022)

Graph-based Nearest Neighbor Search in Hyperbolic Spaces. - Liudmila Prokhorenkova; Dmitry Baranchuk; Nikolay Bogachev; Yury Demidovich; Alexander Kolpakov (ICLR, 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)

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 (ACL (demo), 2023)

DeDrift: Robust Similarity Search under Content Drift. - Dmitry Baranchuk; Matthijs Douze; Yash Upadhyay; I. Zeki Yalniz (ICCV, 2023)

TabDDPM: Modelling Tabular Data with Diffusion Models. - Akim Kotelnikov; Dmitry Baranchuk; Ivan Rubachev; Artem Babenko (ICML, 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 (NeurIPS, 2023)

Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. - Nikita Starodubcev; Dmitry Baranchuk; Valentin Khrulkov; Artem Babenko (CoRR, 2023)

Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. - Nikita Starodubcev; Dmitry Baranchuk; Artem Fedorov; Artem Babenko (CVPR, 2024)

Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. - Nikita Starodubcev; Mikhail Khoroshikh; Artem Babenko; Dmitry Baranchuk (NeurIPS, 2024)

Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization. - Vage Egiazarian; Denis Kuznedelev; Anton Voronov; Ruslan Svirschevski; Michael Goin; Daniil Pavlov; Dan Alistarh; Dmitry Baranchuk (CoRR, 2024)

Results of the Big ANN: NeurIPS'23 competition. - Harsha Vardhan Simhadri; Martin Aumüller 001; Amir Ingber; Matthijs Douze; George Williams; Magdalen Dobson Manohar; Dmitry Baranchuk; Edo Liberty; Frank Liu 007; Benjamin Landrum; Mazin Karjikar; Laxman Dhulipala; et al. (CoRR, 2024)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. - Mikhail Persiianov; Arip Asadulaev; Nikita Andreev; Nikita Starodubcev; Dmitry Baranchuk; Anastasis Kratsios; Evgeny Burnaev; Alexander Korotin (CoRR, 2024)

Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis. - Anton Voronov; Denis Kuznedelev; Mikhail Khoroshikh; Valentin Khrulkov; Dmitry Baranchuk (CoRR, 2024)

YaART: Yet Another ART Rendering Technology. - Sergey Kastryulin; Artem Konev; Alexander Shishenya; Eugene Lyapustin; Artem Khurshudov; Alexander Tselousov; Nikita Vinokurov; Denis Kuznedelev; Alexander Markovich; Grigoriy Livshits; Alexey Kirillov; Anastasiia Tabisheva; et al. (KDD (1), 2025)

Inverse Bridge Matching Distillation. - Nikita Gushchin; David Li 004; Daniil Selikhanovych; Evgeny Burnaev; Dmitry Baranchuk; Alexander Korotin (CoRR, 2025)

Scale-wise Distillation of Diffusion Models. - Nikita Starodubcev; Denis Kuznedelev; Artem Babenko; Dmitry Baranchuk (CoRR, 2025)

CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading. - Mishan Aliev; Dmitry Baranchuk; Kirill Struminsky (CoRR, 2025)

Alchemist: Turning Public Text-to-Image Data into Generative Gold. - Valerii Startsev; Alexander Ustyuzhanin; Alexey Kirillov; Dmitry Baranchuk; Sergey Kastryulin (CoRR, 2025)

MADrive: Memory-Augmented Driving Scene Modeling. - Polina Karpikova; Daniil Selikhanovych; Kirill Struminsky; Ruslan Musaev; Maria Golitsyna; Dmitry Baranchuk (CoRR, 2025)