Evgeny Burnaev

Skolkovo Institute of Science and Technology — Russia

Engineering · Physical Sciences

29h-index3.9kcitations475works2.92yr avg
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Research Topics

3D Shape Modeling and Analysis(31), Anomaly Detection Techniques and Applications(29), Reservoir Engineering and Simulation Methods(28), Gaussian Processes and Bayesian Inference(28), Neural Networks and Applications(25)

Publications469 total

A deep learning-aided approach for estimating field permeability map by fusing well logs, well tests, and seismic data
Petroleum·2025Open Access
Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review
Communications in Nonlinear Science and Numerical Simulation·2025
Packed Fruits and Vegetables Visual Classification and Segmentation Benchmark
Scientific Data·2025Open Access
Hybrid intelligent models for water activity prediction in complex ionic liquid systems
Journal of environmental chemical engineering·2025
Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
arXiv (Cornell University)·2025Open Access
Stability of the DuFort–Frankel Scheme on Unstructured Grids
Computation·2025· 1 citedOpen Access
How to model Human Actions distribution with Event Sequence Data
arXiv (Cornell University)·2025Open Access
Machine-learning modeling of water, oil, and solids content in oil-based drilling muds: An alternative approach to retort test
Colloids and Surfaces A Physicochemical and Engineering Aspects·2025· 1 cited
Data-driven uncertainty-aware forecasting of sea ice conditions in the gulf of Ob based on satellite radar imagery
Scientific Reports·2025Open Access
From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation
arXiv (Cornell University)·2025Open Access
Prediction of oil production rate in multiple wells of a producing field applying combined deep–learning and optimization techniques
Fuel·2025
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
2025· 1 cited
On the practical applicability of DM21 neural-network DFT functional for chemical calculations: Focus on geometry optimization
The Journal of Chemical Physics·2025· 3 cited
An Optimal Transport Perspective on Unpaired Image Super-Resolution
Journal of Optimization Theory and Applications·2025
EBES: Easy Benchmarking for Event Sequences
2025· 1 citedOpen Access
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
arXiv (Cornell University)·2025Open Access
Machine-learning models for predicting CO2 solubility in various brine systems: implications for carbon geo-storage
Journal of Molecular Liquids·2025· 4 citedOpen Access
PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM agents
arXiv (Cornell University)·2025Open Access
Diffusion-Based Super-Resolution of Sentinel-2 Imagery for Improved Forest Species Classification
2025
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
2025· 2 cited
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Frequent Co-authors

Alexey Zaytsev(6), Alexey Artemov(5), Dmitry Koroteev(4), Denis Volkhonskiy(4), Dmitrii Shadrin(4), Svetlana Illarionova(4), Alexander Bernstein(4), Polina Tregubova(3), Denis Zorin(3), Олег Валериевич Судаков(2), Nikita Klyuchnikov(2), Ilya Trofimov(2), Ekaterina Artemova(2), Ivan Nazarov(2), Andrei Osiptsov(2), Albert Vainshtein(2), Pavel Erofeev(2), Sergey Ivanov(2), Ruslan Rakhimov(2), Vage Egiazarian(2)