Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Valentin Malykh — most-cited papers & profile · AI for Code
← authors
·
overview
Valentin Malykh
8
papers ·
261
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
2019 · 260 citations
Iterative Self-Training for Code Generation via Reinforced Re-Ranking
2025
ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
2026
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
2019
Topics
Training Techniques
Efficiency
Code
RAG
Reinforcement Learning
Fine-Tuning
Model Architecture
cs.IT
eess.SP
math.IT