Alex Robey
Alex Robey
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Cited by
Cited by
Efficient and accurate estimation of lipschitz constants for deep neural networks
M Fazlyab, A Robey, H Hassani, M Morari, G Pappas
Advances in Neural Information Processing Systems 32, 2019
Learning control barrier functions from expert demonstrations
A Robey, H Hu, L Lindemann, H Zhang, DV Dimarogonas, S Tu, N Matni
2020 59th IEEE Conference on Decision and Control (CDC), 3717-3724, 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
A Robey, H Hassani, GJ Pappas
arXiv preprint arXiv:2005.10247, 2020
Provable tradeoffs in adversarially robust classification
E Dobriban, H Hassani, D Hong, A Robey
arXiv preprint arXiv:2006.05161, 2020
Model-based domain generalization
A Robey, GJ Pappas, H Hassani
Advances in Neural Information Processing Systems 34, 20210-20229, 2021
Optimal physical preprocessing for example-based super-resolution
A Robey, V Ganapati
Optics Express 26 (24), 31333-31350, 2018
Adversarial robustness with semi-infinite constrained learning
A Robey, L Chamon, GJ Pappas, H Hassani, A Ribeiro
Advances in Neural Information Processing Systems 34, 6198-6215, 2021
Learning robust hybrid control barrier functions for uncertain systems
A Robey, L Lindemann, S Tu, N Matni
IFAC-PapersOnLine 54 (5), 1-6, 2021
Learning hybrid control barrier functions from data
L Lindemann, H Hu, A Robey, H Zhang, DV Dimarogonas, S Tu, N Matni
arXiv preprint arXiv:2011.04112, 2020
On the sample complexity of stability constrained imitation learning
S Tu, A Robey, T Zhang, N Matni
arXiv preprint arXiv:2102.09161, 2021
Optimal algorithms for submodular maximization with distributed constraints
A Robey, A Adibi, B Schlotfeldt, H Hassani, GJ Pappas
Learning for Dynamics and Control, 150-162, 2021
Closing the closed-loop distribution shift in safe imitation learning
S Tu, A Robey, N Matni
arXiv e-prints, arXiv: 2102.09161, 2021
Learning robust output control barrier functions from safe expert demonstrations
L Lindemann, A Robey, L Jiang, S Tu, N Matni
arXiv preprint arXiv:2111.09971, 2021
Do Deep Networks Transfer Invariances Across Classes?
A Zhou, F Tajwar, A Robey, T Knowles, GJ Pappas, H Hassani, C Finn
arXiv preprint arXiv:2203.09739, 2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
A Xue, L Lindemann, A Robey, H Hassani, GJ Pappas, R Alur
arXiv preprint arXiv:2204.00846, 2022
Probabilistically Robust Learning: Balancing Average-and Worst-case Performance
A Robey, LFO Chamon, GJ Pappas, H Hassani
arXiv preprint arXiv:2202.01136, 2022
Autonomous Robotic Navigation Using Self-Organized Maps
B Tang, A Robey
Probable Domain Generalization via Quantile Risk Minimization
C Eastwood, A Robey, S Singh, J von Kügelgen, H Hassani, GJ Pappas, ...
arXiv preprint arXiv:2207.09944, 2022
Toward Certified Robustness Against Real-World Distribution Shifts
H Wu, T Tagomori, A Robey, F Yang, N Matni, G Pappas, H Hassani, ...
arXiv preprint arXiv:2206.03669, 2022
Model-based robust deep learning
GJ Pappas, H Hassani, A Robey
US Patent App. 17/337,972, 2022
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