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At Yandex Research, we advance progress in science and develop technologies for a better tomorrow.
Blog
See all- Neural algorithmic reasoning without intermediate supervisionResearchNovember 10, 2023
- Faster customization of text-to-image models with DVARResearchNovember 7, 2023
- How much do text-to-Image models know? A hypernymy-based approachResearchOctober 18, 2023
Publications
See allTabR: Tabular Deep Learning Meets Nearest Neighbors
ICLR, 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
ICLR, 2024Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting Download PDF
ICLR, 2024Neural Optimal Transport with General Cost Functionals
ICLR, 2024
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.7 publications2 posts1 datasetLarge-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.11 publications1 postGenerative models
Generative models in computer vision are powerful tool for various applications.12 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.13 publications5 posts1 datasetNeural 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.1 publication2 postsComputer vision
Yandex Research team regularly contributes to the computer vision research community, mostly in the field of image retrieval and generative modelling.35 publications5 posts1 dataset