Melanie Nicole Zeilinger
Control and Systems Engineering · 2012–2020
A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 63 citations into it; #2,270 of 8,257 by trust here, #1,372 by citations
- Artificial Intelligence — 39 citations into it; #32,152 of 35,345 by trust here, #17,110 by citations
- Reinforcement Learning — 24 citations into it
- Computational Theory and Mathematics — 22 citations into it; #12,119 of 12,182 by trust here, #8,294 by citations
- Aerospace Engineering — 11 citations into it; #2,896 of 6,421 by trust here, #3,911 by citations
- Robotics & Control — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Automotive Engineering — 8 citations into it
Whom Melanie Nicole Zeilinger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan Genz
- Joaquin Quiñonero Candela
- Stephen J. Wright
- Ian M. Mitchell
- J. Kolter
- Carl E. Rasmussen
- Jeremy H. Gillula
- Marc Peter Deisenroth
- Joel A. E. Andersson
- Claire Jennifer Tomlin
Who trusts Melanie Nicole Zeilinger overall
- Shangding Gu
- Guillem Torrente
- Lukas Brunke
- Alexander Liniger
- Gianluca Frison
- Alexander Domahidi
- Somil Bansal
Papers from Melanie Nicole Zeilinger's perspective
Ordered by how strongly the researchers Melanie Nicole Zeilinger trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Reinforcement Learning: An Introduction
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Reachability-based safe learning with Gaussian processes (2014) — 313 citations
- Cautious Model Predictive Control Using Gaussian Process Regression (2017) — 660 citations
- Learning-Based Model Predictive Control: Toward Safe Learning in Control (2020) — 910 citations
- Learning-Based Model Predictive Control for Autonomous Racing (2019) — 448 citations
- A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems (2017) — 580 citations
- Efficient interior point methods for multistage problems arising in receding horizon control (2012) — 366 citations