Jordi Grau-Moya
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Optimization & Training — 6 citations into it
Whom Jordi Grau-Moya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jordi Grau-Moya's perspective
Ordered by how strongly the researchers Jordi Grau-Moya trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
- Attention is All you Need (Neural Information Processing Systems)
- Information Theory: 1948-1998 - Guest Editorial
Their papers
- Causal Analysis of Agent Behavior for AI Safety (2021) — 8 citations
- Shaking the foundations: delusions in sequence models for interaction and control (2021) — 75 citations
- Soft Q-Learning with Mutual-Information Regularization (2018) — 68 citations