Christos Dimitrakakis

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #15,398 of 35,345 by trust here, #23,077 by citations
• Reinforcement Learning — 22 citations into it; #1,249 of 2,242 by trust here, #876 by citations

Whom Christos Dimitrakakis trusts overall

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

1. Richard S. Sutton
2. Cynthia Dwork
3. Frank McSherry
4. Deepak Ramachandran
5. Umar Syed
6. Richard Dearden
7. Andrew Barto
8. Monica Babes-Vroman
9. Shimon Whiteson
10. Olivier Bousquet

Who trusts Christos Dimitrakakis overall

1. Kun Li
2. Joel W. Burdick
3. Yan Duan
4. Christelle Langley
5. Karol Hausman
6. José Hernandez-Orallo
7. Artem Sokolov
8. Xi Chen
9. Bogdan-Ionut Cirstea
10. Yevgen Chebotar

Papers from Christos Dimitrakakis's perspective

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

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

Their papers

• Bayesian Multitask Inverse Reinforcement Learning (2011) — 114 citations
• Calibrated Fairness in Bandits (2017) — 101 citations
• The Reinforcement Learning Competition 2014 (2014) — 15 citations
• The reinforcement learning competition (2014) — 15 citations
• TORCS, The Open Racing Car Simulator, v1.3.5 (2013) — 31 citations
• Bayesian Differential Privacy through Posterior Sampling (2013) — 7 citations
• Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers (2011) — 5 citations
• Beliefbox: A framework for statistical methods in sequential decision making (2007) — 5 citations
• TORCS, The Open Racing Car Simulator (2005) — 519 citations