Denis Teplyashin
Artificial Intelligence · 2016–2025
A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
Whom Denis Teplyashin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Volodymyr Mnih
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Alex Graves
Who trusts Denis Teplyashin overall
Papers from Denis Teplyashin's perspective
Ordered by how strongly the researchers Denis Teplyashin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Their papers
- Grounded Language Learning in a Simulated 3D World (2017) — 317 citations
- Learning to Navigate in Cities Without a Map (2018) — 347 citations
- DeepMind Lab (2016) — 267 citations
- Meta-learning by the Baldwin effect (2018) — 42 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations