Konstantinos I. Roumeliotis
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Large Language Models — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Natural Language Processing — 19 citations into it
- Health Informatics — 14 citations into it
- Safety Research — 7 citations into it
Whom Konstantinos I. Roumeliotis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Teo Sušnjak
- Abdulhadi Shoufan
- Jimmy Ba
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Ashish Vaswani
- Ilya Sutskever
- Alex Krizhevsky
Papers from Konstantinos I. Roumeliotis's perspective
Ordered by how strongly the researchers Konstantinos I. Roumeliotis trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges (2025) — 446 citations
- ChatGPT and Open-AI Models: A Preliminary Review (2023) — 702 citations