Rémi Rampin
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #29,366 of 35,345 by trust here, #24,417 by citations
- Optimization & Training — 5 citations into it
Whom Rémi Rampin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rémi Rampin overall
Papers from Rémi Rampin's perspective
Ordered by how strongly the researchers Rémi Rampin trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Search for Hyper-Parameter Optimization
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Scikit-learn: Machine Learning in Python
Their papers
- AlphaD3M: Machine Learning Pipeline Synthesis (2021) — 93 citations
- Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar (2019) — 30 citations
- Taguette: open-source qualitative data analysis (2021) — 364 citations