Andrea Banino
Artificial Intelligence · 2016–2025
A researcher in the Science corpus: 7 papers; trusts 107 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 128 citations into it; #32,100 of 35,345 by trust here, #4,747 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #19,796 of 21,575 by trust here, #3,239 by citations
- Reinforcement Learning — 56 citations into it; #2,102 of 2,242 by trust here, #478 by citations
- Model Architectures — 42 citations into it
- Natural Language Processing — 30 citations into it
- Management Science and Operations Research — 15 citations into it
- Optimization & Training — 12 citations into it
Whom Andrea Banino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Ronald J. Williams
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Jimmy Ba
- Alex Krizhevsky
- Jason Aaron Edward Weston
- Ilya Sutskever
Who trusts Andrea Banino overall
Papers from Andrea Banino's perspective
Ordered by how strongly the researchers Andrea Banino trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning to Navigate in Complex Environments (2016) — 958 citations
- Vector-based navigation using grid-like representations in artificial agents (2018) — 716 citations
- Semantic Exploration from Language Abstractions and Pretrained Representations (2022) — 84 citations
- MEMO: A Deep Network for Flexible Combination of Episodic Memories (2020) — 40 citations
- Towards mental time travel: a hierarchical memory for reinforcement learning agents (2021) — 61 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- PonderNet: Learning to Ponder (2021) — 148 citations