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Siyu Zhou
Siyu Zhou
Bestätigte E-Mail-Adresse bei microsoft.com
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Zitiert von
Zitiert von
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Criticality distinguishes the ensemble of biological regulatory networks
BC Daniels, H Kim, D Moore, S Zhou, HB Smith, B Karas, SA Kauffman, ...
Physical review letters 121 (13), 138102, 2018
1102018
Clone swarms: Learning to predict and control multi-robot systems by imitation
S Zhou, MJ Phielipp, JA Sefair, SI Walker, HB Amor
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
192019
Local repair of neural networks using optimization
K Majd, S Zhou, HB Amor, G Fainekos, S Sankaranarayanan
arXiv preprint arXiv:2109.14041, 2021
82021
Logic and connectivity jointly determine criticality in biological gene regulatory networks
BC Daniels, H Kim, D Moore, S Zhou, H Smith, B Karas, SA Kauffman, ...
arXiv preprint arXiv:1805.01447, 2018
62018
Towards Scalable Imitation Learning for Multi-Agent Systems with Graph Neural Networks
S Zhou, C Rajasekhar, MJ Phielipp, HB Amor
12019
Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
K Majd, G Clark, T Khandait, S Zhou, S Sankaranarayanan, G Fainekos, ...
arXiv preprint arXiv:2303.06582, 2023
2023
Safe Robot Learning in Assistive Devices through Neural Network Repair
K Majd, G Clark, T Khandait, S Zhou, S Sankaranarayanan, G Fainekos, ...
arXiv preprint arXiv:2303.04431, 2023
2023
Safe Robot Learning in Assistive Devices through Neural Network Repair-Supplementary Materials
K Majd, G Clark, T Khandait, S Zhou, S Sankaranarayanan, G Fainekos, ...
SwarmNet: Towards Imitation Learning of Multi-Robot Behavior with Graph Neural Networks
S Zhou, MJ Phielipp, J Sefair, SI Walker, HB Amor
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