MSc student, MIPT (FPMI), Department of Data Analysis Researcher, Laboratory of Mathematical Optimization Methods, MIPT / ISP RAS / BRAIn Lab
Research focus: optimization methods, deep learning, variational inequalities, game theory, large language models, transport modeling
- SGDiffusion – neural network optimization experiments (SGD vs GD, Hessians, diffusion dynamics)
- Ridiculous-LLM-Compression – pruning and healing library for large language models with LoRA fine-tuning
- Adversarial-Attacks – adaptive loss scaling for adversarial training
- Just Relax It – relaxation methods (BMM 24–25)
- CFW-in-ML – Conjugate Frank-Wolfe for ML (paper project)
- Methods-Optimization – optimization methods assignments
- Reinforcement_learning – reinforcement learning experiments
- Computational-mathematics – computational mathematics assignments
- MLNotes – notebooks on deep learning
- MLFinance – surrogate modeling of Black–Scholes with neural networks