Gábor Orosz

Control and Systems Engineering · AAAI Conference on Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 30 citations into it; #7,974 of 8,257 by trust here, #3,145 by citations
• Artificial Intelligence — 16 citations into it
• Transportation — 15 citations into it; #1,977 of 2,062 by trust here, #1,098 by citations
• Reinforcement Learning — 13 citations into it
• Building and Construction — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Gábor Orosz trusts overall

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

1. Dirk Helbing
2. Koen Engelborghs
3. Dirk Roose
4. Tamás Insperger
5. Tatyana Luzyanina
6. Gábor Stépán
7. Carlos F. Daganzo
8. Jorge A. Laval
9. Nikolaos Geroliminis
10. Amin Mazloumian

Who trusts Gábor Orosz overall

1. Cathy Wu
2. Marcello Montanino
3. Gábor Orosz
4. Tamás Insperger
5. Charles Dawson
6. Kanaad Parvate
7. Youngmin Oh

Papers from Gábor Orosz's perspective

Ordered by how strongly the researchers Gábor Orosz 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. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Reinforcement Learning: An Introduction
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks (2019) — 805 citations
• Traffic jams: dynamics and control (2010) — 396 citations
• Subcritical Hopf bifurcations in a car-following model with reaction-time delay (2006) — 140 citations
• Bifurcations and multiple traffic jams in a car-following model with reaction-time delay (2005) — 141 citations