Konstantinos Chatzilygeroudis

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #34,614 of 35,345 by trust here, #25,040 by citations
• Reinforcement Learning — 33 citations into it
• Control and Systems Engineering — 19 citations into it
• Computational Theory and Mathematics — 13 citations into it; #12,075 of 12,182 by trust here, #9,804 by citations
• Biomedical Engineering — 12 citations into it
• Optimization & Training — 11 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Robotics & Control — 8 citations into it

Whom Konstantinos Chatzilygeroudis trusts overall

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

1. Jan Peters
2. Marc Peter Deisenroth
3. Carl E. Rasmussen
4. Sergey Levine
5. Geoffrey E. Hinton
6. Ronald J. Williams
7. Richard S. Sutton
8. Stefan Schaal
9. Antoine Cully
10. Alex Krizhevsky

Who trusts Konstantinos Chatzilygeroudis overall

1. Sehoon Ha
2. J. A. G. Higuera
3. Adam Gaier
4. Shaojun Zhu
5. Paavo Parmas
6. Jean-Baptiste Mouret
7. Peng Xu
8. Vassilis Vassiliades
9. David Meger
10. Alexander Asteroth

Papers from Konstantinos Chatzilygeroudis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Reinforcement Learning: An Introduction

Their papers

• Reset-free Trial-and-Error Learning for Robot Damage Recovery (2016) — 111 citations
• Black-box data-efficient policy search for robotics (2017) — 115 citations
• Machine Learning Basics (2021) — 346 citations