Aaron J. Havens

23 papers A* 7C 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
ICML
Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M. Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025 J jnl
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
CoRR
Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon M. Wood, Daniel LeVine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2024 J jnl
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra.
CoRR
Darioush Kevian, Usman Syed, Xingang Guo, Aaron J. Havens, Geir E. Dullerud, Peter J. Seiler, Lianhui Qin, Bin Hu
2024 A* conf
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention.
ICML
Aaron J. Havens, Alexandre Araujo, Huan Zhang, Bin Hu
2024 A* conf
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations.
ICLR
Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
2024 J jnl
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations.
CoRR
Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
2024 A* conf
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks.
ICLR
Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha
2023 A* conf
A Unified Algebraic Perspective on Lipschitz Neural Networks.
ICLR
Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023 J jnl
A Unified Algebraic Perspective on Lipschitz Neural Networks.
CoRR
Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023 A* conf
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models.
NeurIPS
Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
2023 J jnl
Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control.
IEEE Control. Syst. Lett.
Aaron J. Havens, Darioush Keivan, Peter J. Seiler, Geir E. Dullerud, Bin Hu
2022 C conf
Model-Free μ Synthesis via Adversarial Reinforcement Learning.
ACC
Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu
2022 J jnl
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control.
CoRR
Aaron J. Havens, Darioush Keivan, Peter Seiler, Geir E. Dullerud, Bin Hu
2021 — conf
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems.
L4DC
Aaron J. Havens, Girish Chowdhary
2021 J jnl
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems.
CoRR
Aaron J. Havens, Girish Chowdhary
2021 J jnl
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning.
CoRR
Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu
2021 C conf
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions.
ACC
Aaron J. Havens, Bin Hu
2021 J jnl
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions.
CoRR
Aaron J. Havens, Bin Hu
2020 — conf
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control.
Robotics: Science and Systems
Naveen Kumar Uppalapati, Benjamin Walt, Aaron J. Havens, Armeen Mahdian, Girish Chowdhary, Girish Krishnan
2019 J jnl
Learning Latent State Spaces for Planning through Reward Prediction.
CoRR
Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita
2019 J jnl
Learning to Cope with Adversarial Attacks.
CoRR
Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar
2018 A* conf
Online Robust Policy Learning in the Presence of Unknown Adversaries.
NeurIPS
Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
2018 J jnl
Online Robust Policy Learning in the Presence of Unknown Adversaries.
CoRR
Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar