leffff,Lev Novitskiy,github

Lev Novitskiy

Fields of interest: Diffusion, LLMs, Transformers, Graphs

DL Researcher at SBER AI (April 2024 - Present day):
- Dragon Diffusion on Kandinsky 3.0
- 3D Microstructures generation
- Auto-Encoders (VQ, KL)
- InstructFlow
DL Researcher at AIRI (April 2023 - present day)
As a result of the research we propose several new models for crystal structure generation and modification code
- New materials design with VAEs (VAEs)
- Formation Energy regression with neural networks (GNNs, PointNet, CNNs, Transformers)
- Crystall structure generation, optimization (Diffusion, Flow Matching, Bridge Matching, Auto-Encoders, CNNs, Transformers, En-Transformers)
DL Engeneer at SBER Cyber Security (July 2022 - April 2024):
- NLP: fraud call analisys
- Classic ML: fraud detection with gradient boosting
- Transaction Graph Neural Networks (GCN, GAT, GraphSAGE, Graphormer, GIN)
- Transaction Graph Neural Network pretraining (self-supervised: ARGA, ARGVA, GAEs, VGAEs, Contrastive Learning)
- Transaction Graph Neural Network (Temporal GNNs)
- Transaction sequence scoring (LSTM, GRU, Transformer Encoder)
- User scoring (Gradient Boosting, Ensembling)
- Vulnerability detection in assembly with neural networks (Angr, GNNs)
- Antifraud Voice Bot for preventinng call fraud (BERT, NSP, Pretraining, SFT, GPT, FAISS, HNSW, Retrieval, Whisper, ConFormer)