Brendon G. Anderson
Brendon G. Anderson
PhD Student, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Tightened convex relaxations for neural network robustness certification
BG Anderson, Z Ma, J Li, S Sojoudi
59th IEEE Conference on Decision and Control, 2020
122020
Quantitative assessment of robotic swarm coverage
BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ...
15th International Conference on Informatics in Control, Automation and …, 2018
52018
Certifying neural network robustness to random input noise from samples
BG Anderson, S Sojoudi
arXiv preprint arXiv:2010.07532, 2020
22020
Data-driven assessment of deep neural networks with random input uncertainty
BG Anderson, S Sojoudi
arXiv preprint arXiv:2010.01171, 2020
12020
Node-Variant Graph Filters in Graph Neural Networks
F Gama, BG Anderson, S Sojoudi
arXiv preprint arXiv:2106.00089, 2021
2021
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks
BG Anderson, Z Ma, J Li, S Sojoudi
arXiv preprint arXiv:2101.09306, 2021
2021
Data-Driven Certification of Neural Networks with Random Input Noise
BG Anderson, S Sojoudi
2021
Global optimality guarantees for nonconvex unsupervised video segmentation
BG Anderson, S Sojoudi
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
2019
Quantifying robotic swarm coverage
BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ...
Lecture Notes in Electrical Engineering: Informatics in Control, Automation …, 2019
2019
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Articles 1–9