Alexandru Salcianu
Artificial Intelligence · 2003–2025
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Alexandru Salcianu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Alexandru Salcianu's perspective
Ordered by how strongly the researchers Alexandru Salcianu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Natural Language Processing with Small Feed-Forward Networks (2017) — 39 citations
- Interprocedural compatibility analysis for static object preallocation (2003) — 19 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Scaling Up Models and Data with t5x and seqio (2022) — 224 citations