32 papers
Borey: A High-Resolution Regional Atmosphere-Ocean-Sea Ice-Wave Forecasting System and Hindcast Dataset for the Barents and Kara Seas
Vasily Ivanov, Polina Verezemskaya, Alexander Gavrikov +5
Borey is a high-resolution regional modeling and operational forecasting system for the Barents and Kara Seas. It combines WRF for the atmosphere, NEMO-SI3 for the ocean and sea ic…
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information
Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev
One of the powerful techniques in data modeling is accounting for features that are available at the training stage, but are not available when the trained model is used to classif…
Geometric Metrics and LLMs: What They Measure and When They Work
Viacheslav Yusupov, Anna Antipina, Ameliia Alaeva +6
We present a systematic stress-test of geometric metrics for LLM evaluation. Rank-based geometric properties of internal representations have shown promise as reference-free qualit…
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
Daniil Selikhanovych, David Li, Aleksei Leonov +6
Diffusion models for super-resolution (SR) produce high-quality visual results but require expensive computational costs. Despite the development of several methods to accelerate d…
Variational Entropic Optimal Transport
Roman Dyachenko, Nikita Gushchin, Kirill Sokolov +3
Entropic optimal transport (EOT) in continuous spaces with quadratic cost is a classical tool for solving the domain translation problem. In practice, recent approaches optimize a…
Bug or Feature: Weight Drift, Activation Sparsity and Spikes
Egor Shvetsov, Aleksandr Serkov, Shokorov Viacheslav +3
The design of modern neural architectures has converged through incremental empirical choices, yet the mechanisms governing their training dynamics remain only partially understood…