Balázs Szörényi

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 23 citations into it
• Management Science and Operations Research — 13 citations into it
• Statistics and Probability — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Balázs Szörényi trusts overall

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

1. Ronald J. Williams
2. Oded Maron
3. Yufan Zhao
4. Csaba Szepesvari
5. Johannes Fürnkranz
6. Peter Auer
7. Pieter Abbeel
8. Riad Akrour
9. Nikolaus Hansen
10. Gavin Adrian Rummery

Who trusts Balázs Szörényi overall

1. Christian Wirth
2. Aldo Pacchiano
3. Chao Yu

Papers from Balázs Szörényi's perspective

Ordered by how strongly the researchers Balázs Szörényi 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Reinforcement Learning: An Introduction

Their papers

• Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm (2014) — 73 citations
• Preference-based Evolutionary Direct Policy Search (2013) — 22 citations