S. Giannarou

Reinforcement Learning · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it

Whom S. Giannarou trusts

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

1. Andrew Y. Ng (in Reinforcement Learning)

Papers from S. Giannarou's perspective

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

1. Long Short-Term Memory
2. Pattern Recognition and Machine Learning
3. A Survey on Transfer Learning
4. Apprenticeship learning via inverse reinforcement learning
5. Algorithms for Inverse Reinforcement Learning
6. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
7. Dynamic Routing Between Capsules
8. UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
9. Elements of Causal Inference: Foundations and Learning Algorithms
10. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

Their papers

• Surgical data science for next-generation interventions (2017) — 522 citations
• Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions (2016) — 215 citations
• Surgical data science – from concepts toward clinical translation (2020) — 323 citations