Nikola Momchev
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 156 citations into it
- Reinforcement Learning — 65 citations into it
Whom Nikola Momchev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nikola Momchev's perspective
Ordered by how strongly the researchers Nikola Momchev trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Dropout: a simple way to prevent neural networks from overfitting
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Gradient-based learning applied to document recognition
- Language Models are Unsupervised Multitask Learners
Their papers
- Measuring Compositional Generalization: A Comprehensive Method on Realistic Data (2019) — 421 citations
- Gemma 2: Improving Open Language Models at a Practical Size (2024) — 2,206 citations
- Hyperparameter Selection for Imitation Learning (2021) — 21 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Gemma 3 Technical Report (2025) — 1,621 citations
- RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning (2021) — 42 citations