| Online robust policy learning in the presence of unknown adversaries A Havens, Z Jiang, S Sarkar Advances in neural information processing systems 31, 2018 | 47 | 2018 |
| 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 | 30 | 2020 |
| A unified algebraic perspective on lipschitz neural networks A Araujo, A Havens, B Delattre, A Allauzen, B Hu arXiv preprint arXiv:2303.03169, 2023 | 26 | 2023 |
| 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 | 17 | 2021 |
| Forced variational integrator networks for prediction and control of mechanical systems A Havens, G Chowdhary Learning for Dynamics and Control, 1142-1153, 2021 | 8 | 2021 |
| 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 |
| 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 | 6 | 2022 |
| Learning to cope with adversarial attacks XY Lee, A Havens, G Chowdhary, S Sarkar arXiv preprint arXiv:1906.12061, 2019 | 6 | 2019 |
| Learning latent state spaces for planning through reward prediction A Havens, Y Ouyang, P Nagarajan, Y Fujita arXiv preprint arXiv:1912.04201, 2019 | 4 | 2019 |
| 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 | 1 | 2024 |
| On the scalability and memory efficiency of semidefinite programs for Lipschitz constant estimation of neural networks Z Wang, AJ Havens, A Araujo, Y Zheng, B Hu, Y Chen, S Jha The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| 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 | | 2024 |
| 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 | | 2024 |
| Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention AJ Havens, A Araujo, H Zhang, B Hu | | 2023 |
| Reinforcement Learning and Adaptive Control G Chowdhary, G Joshi, A Havens Encyclopedia of Systems and Control, 1856-1863, 2021 | | 2021 |
Bin HuUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
