Aaron J. Havens

Orcid: 0000-0002-8744-8443

According to our database1, Aaron J. Havens authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra.
CoRR, 2024

Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control.
IEEE Control. Syst. Lett., 2023

Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified Algebraic Perspective on Lipschitz Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control.
CoRR, 2022

Model-Free μ Synthesis via Adversarial Reinforcement Learning.
Proceedings of the American Control Conference, 2022

2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions.
Proceedings of the 2021 American Control Conference, 2021

2020
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control.
Proceedings of the Robotics: Science and Systems XVI, 2020

2019
Learning Latent State Spaces for Planning through Reward Prediction.
CoRR, 2019

Learning to Cope with Adversarial Attacks.
CoRR, 2019

2018
Online Robust Policy Learning in the Presence of Unknown Adversaries.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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