activity
20142026
most citedA Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data

103 citations · 272 across the 63 of their papers we have counts for

collaborators

74 papers

physics.ao-ph2026

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…

cs.LG2026★ 4 cited

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…

cs.LG2026

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…

cs.AI2026

Prior Knowledge or Search? A Study of LLM Agents in Hardware-Aware Code Optimization

Dmitry Redko, Albert Fazlyev, Konstantin Sozykin +3

LLM discovery and optimization systems are increasingly applied across domains, implementing a common propose-evaluate-revise loop. Such optimization or discovery progresses via co…

cs.MA2026

Multi-Agentic Approach for History Matching of Oil Reservoirs

Linar Samigullin, Sergei Shumilin, Evgeny Burnaev

History matching is a central inverse problem in reservoir engineering, where uncertain reservoir parameters must be calibrated against observations. Although automated history mat…

cs.CL2026

PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents

Mikhail Menschikov, Matvey Iskornev, Alexander Kharitonov +8

We introduce PersonalAI 2.0 (PAI-2), a novel framework designed to enhance LLM-based systems through integration of external knowledge graphs (KGs). The proposed approach addresses…