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Yandex Research
Follow the cutting-edge research in computer science
At Yandex Research, we advance progress in science and develop technologies for a better tomorrow.
Blog
See all
Discrete neural algorithmic reasoningResearchSeptember 20, 2024
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer DevicesResearchJune 18, 2024
Faster customization of text-to-image models with DVARResearchNovember 7, 2023
Publications
See allHogwild! Inference: Parallel LLM Generation via Concurrent Attention
Speculative and parallel decodingNatural language processing Gleb Rodionov Roman Garipov Alina Shutova George Yakushev Erik Schultheis Vage Egiazarian Anton Sinitsin Denis Kuznedelev Dan Alistarh NeurIPS, 2025AutoJudge: Judge Decoding Without Manual Annotation
Speculative and parallel decodingLarge-scale machine learningNatural language processing Roman Garipov Fedor Velikonivtsev Ivan Ermakov Ruslan Svirschevski Vage Egiazarian Max Ryabinin NeurIPS, 2025GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
Graph machine learning Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova NeurIPS Datasets and Benchmarks, 2025Alchemist: Turning Public Text-to-Image Data into Generative Gold
Generative modelsComputer vision Valerii Startsev Alexander Ustyuzhanin Alexey Kirillov Dmitry Baranchuk Sergey Kastryulin NeurIPS Datasets and Benchmarks, 2025
Research Areas
See allTabular data
Tabular data involves two-dimensional tables with objects (rows) and features (columns), which are used in numerous applied tasks such as classification, regression, ranking and many others.9 publications2 posts2 datasetsLarge-scale machine learning
Today, training most powerful models often takes significant resources. Our research aims to make large-scale training more efficient and accessible to the entire machine learning community.17 publications2 postsGenerative models
Generative models in computer vision are powerful tool for various applications.18 publications6 postsGraph machine learning
Graphs are a natural way to represent data from various domains such as social networks, molecules, text, code, etc. We develop and analyze algorithms for graph-structured data.16 publications5 posts2 datasetsNeural algorithmic reasoning
Algorithmic reasoning focuses on building models that can execute classic algorithms. It allows one to combine the advantages of neural networks with theoretical guarantees of algorithms.2 publications2 postsComputer vision
Yandex Research team regularly contributes to the computer vision research community, mostly in the field of image retrieval and generative modelling.40 publications5 posts1 dataset
