Arnaud de La Fortelle
Automotive Engineering · 2008–2019
A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 17 citations into it; #482 of 3,081 by trust here, #1,370 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #19,611 of 21,575 by trust here, #18,782 by citations
- Artificial Intelligence — 15 citations into it; #22,830 of 35,345 by trust here, #14,718 by citations
- Control and Systems Engineering — 12 citations into it; #4,914 of 8,257 by trust here, #6,083 by citations
Whom Arnaud de La Fortelle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sepp Hochreiter
- Yarin Gal
- J. Urgen Schmidhuber
- Zoubin Ghahramani
- Alexandre Alahi
- Richard S. Sutton
- K. Åström
- Pin Wang
- Geoffrey E. Hinton
Who trusts Arnaud de La Fortelle overall
- Edouard Leurent
- Szilárd Aradi
- Praveen Palanisamy
- Kaouther Messaoud
- Yanjun Huang
- Wei Zhan
- Yicheng Liu
- Sajjad Mozaffari
- Roy D. Yates
- Sanjit Krishnan Kaul
Papers from Arnaud de La Fortelle's perspective
Ordered by how strongly the researchers Arnaud de La Fortelle trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles? (2017) — 421 citations
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps (2019) — 610 citations
- Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation (2009) — 910 citations
- Vehicle Ad Hoc networks: applications and related technical issues (2008) — 748 citations
- A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers (2018) — 270 citations
- An LSTM network for highway trajectory prediction (2017) — 609 citations