Follow
Aaron Havens
Title
Cited by
Cited by
Year
Online robust policy learning in the presence of unknown adversaries
A Havens, Z Jiang, S Sarkar
Advances in neural information processing systems 31, 2018
482018
A unified algebraic perspective on lipschitz neural networks
A Araujo, A Havens, B Delattre, A Allauzen, B Hu
arXiv preprint arXiv:2303.03169, 2023
352023
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control.
NK Uppalapati, B Walt, AJ Havens, A Mahdian, G Chowdhary, G Krishnan
Robotics: Science and Systems, 95, 2020
342020
On imitation learning of linear control policies: Enforcing stability and robustness constraints via LMI conditions
A Havens, B Hu
2021 American Control Conference (ACC), 882-887, 2021
192021
Forced variational integrator networks for prediction and control of mechanical systems
A Havens, G Chowdhary
Learning for Dynamics and Control, 1142-1153, 2021
92021
Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra
D Kevian, U Syed, X Guo, A Havens, G Dullerud, P Seiler, L Qin, B Hu
arXiv preprint arXiv:2404.03647, 2024
82024
Model-free μ synthesis via adversarial reinforcement learning
D Keivan, A Havens, P Seiler, G Dullerud, B Hu
2022 American Control Conference (ACC), 3335-3341, 2022
72022
Learning latent state spaces for planning through reward prediction
A Havens, Y Ouyang, P Nagarajan, Y Fujita
arXiv preprint arXiv:1912.04201, 2019
72019
Learning to cope with adversarial attacks
XY Lee, A Havens, G Chowdhary, S Sarkar
arXiv preprint arXiv:1906.12061, 2019
72019
Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control
A Havens, D Kevian, P Seiler, G Dullerud, B Hu
IEEE Control Systems Letters 7, 343-348, 2022
6*2022
Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models
A Havens, A Araujo, S Garg, F Khorrami, B Hu
Advances in Neural Information Processing Systems 36, 2024
52024
Novel quadratic constraints for extending lipsdp beyond slope-restricted activations
P Pauli, A Havens, A Araujo, S Garg, F Khorrami, F Allgöwer, B Hu
arXiv preprint arXiv:2401.14033, 2024
52024
On the scalability and memory efficiency of semidefinite programs for Lipschitz constant estimation of neural networks
Z Wang, B Hu, AJ Havens, A Araujo, Y Zheng, Y Chen, S Jha
The Twelfth International Conference on Learning Representations, 2024
52024
Reinforcement Learning and Adaptive Control
G Chowdhary, G Joshi, A Havens
Encyclopedia of Systems and Control, 1856-1863, 2021
2021
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
AJ Havens, A Araujo, H Zhang, B Hu
Forty-first International Conference on Machine Learning, 0
The system can't perform the operation now. Try again later.
Articles 1–15