Radu Grosu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Networks and Communications — 28 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Signal Processing — 11 citations into it
• Hardware and Architecture — 7 citations into it

Whom Radu Grosu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ken-ichi Funahashi
2. Alexandre Donzé
3. Fred B. Schneider

Papers from Radu Grosu's perspective

Ordered by how strongly the researchers Radu Grosu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. MuJoCo: A physics engine for model-based control
4. On the difficulty of training recurrent neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Neural Ordinary Differential Equations
8. Gradient-based learning applied to document recognition
9. Approximation by superpositions of a sigmoidal function
10. OpenAI Gym

Their papers

• Liquid Time-constant Networks (2020) — 462 citations
• A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems (2018) — 112 citations