Fedor Buzaev

PhD student, Computer Science, Higher School of Economics

Joined

September 2024

Names

Fedor Buzaev (Preferred)

Emails

****@hse.ru (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

Computer Science, Higher School of Economics (hse.ru)

2023 – 2026

Advisors, Relations & Conflicts

PhD Advisor

Denis Derkach

Present

PhD Advisor

Dmitry Efremenko

Present

Coauthor

Yana Khassan Nibal

Present

Coauthor

Chuprov Ivan

Present

Expertise

Physics Informed Neural Network

2022 – Present

Publications

Relative Position Biases for Transformer PINNs
Fedor Buzaev, Andrei Ermakov, Mariia Ivanova, Fedor Ratnikov, Denis Derkach, Ilya Makarov
- AI&PDE Poster
- Readers: Everyone
Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific
Egor Bugaev, Fedor Buzaev, Dmitry Efremenko, Denis Derkach, Fedor Ratnikov
- AI&PDE Poster
- Readers: Everyone
Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks
Fedor Buzaev, Dmitry Efremenko, Egor Bugaev, Andrei Ermakov, Denis Derkach, Daria Pugacheva, Fedor Ratnikov
- AI&PDE Poster
- Readers: Everyone
Flow-Matching Sampling in Physics-Informed Neural Networks for PDEs with Sharp Source Terms
Yana Khassan Nibal, Dmitry Efremenko, Fedor Buzaev, Denis Derkach
- AI&PDE Poster
- Readers: Everyone
Decoder Only Transformer for Physics Informed Neural Networks
Fedor Buzaev, Andrei Ermakov, Dmitry Efremenko, Daria Pugacheva, Mariia Ivanova, Denis Derkach
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Machine Learning Methods for Wind Profile Recovery in the Atmospheric Boundary Layer
Fedor Buzaev, Dmitry Efremenko, Egor Bugaev, Denis Derkach, Vladimir A.Gordin, Fedor Ratnikov
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
FMS PINN: Flow-matching sampling for efficient solution of partial differential equations with source singularities
Yana Khassan Nibal, Jiexing Gao, Yimin Huang, Fedor Buzaev
- Submitted to ICLR 2025
- Readers: Everyone

Fedor Buzaev

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Relative Position Biases for Transformer PINNs

Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific

Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks

Flow-Matching Sampling in Physics-Informed Neural Networks for PDEs with Sharp Source Terms

Decoder Only Transformer for Physics Informed Neural Networks

Machine Learning Methods for Wind Profile Recovery in the Atmospheric Boundary Layer

FMS PINN: Flow-matching sampling for efficient solution of partial differential equations with source singularities

Co-Authors