publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. ICML
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    Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
    Aaron J Havens, Benjamin Kurt Miller, Bing Yan, and 8 more authors
    In Forty-second International Conference on Machine Learning (also featured as Oral at Frontiers in Probabilistic Inference: Sampling Meets Learning. ICLR Workshop), 2025
    PDF Code Poster

2024

  1. arXiv
    Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra
    Darioush Kevian, Usman Syed, Xingang Guo, and 5 more authors
    arXiv preprint arXiv:2404.03647, 2024
    PDF Website
  2. ICML
    Fine-grained local sensitivity analysis of standard dot-product self-attention
    Aaron J Havens, Alexandre Araujo, Huan Zhang, and 1 more author
    In Forty-first International Conference on Machine Learning, 2024
    PDF
  3. ICLR
    On the scalability and memory efficiency of semidefinite programs for lipschitz constant estimation of neural networks
    Zi Wang, Bin Hu, Aaron Havens, and 4 more authors
    In , 2024
    PDF
  4. ICLR
    Novel Quadratic Constraints for Extending LIPSDP Beyond Slope-restricted Activations
    Patricia Pauli, Aaron Havens, Alexandre Araujo, and 4 more authors
    In 12th International Conference on Learning Representations, 2024
    PDF

2023

  1. NeurIPS
    Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models
    Aaron Havens, Alexandre Araujo, Siddharth Garg, and 2 more authors
    Advances in Neural Information Processing Systems, 2023
    PDF Code
  2. ICLR
    A unified algebraic perspective on lipschitz neural networks
    Alexandre Araujo, Aaron J Havens, Blaise Delattre, and 2 more authors
    In The Eleventh International Conference on Learning Representations (Spotlight), 2023
    PDF Code
  3. CDC / LCSS
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    Revisiting pgd attacks for stability analysis of high-dimensional nonlinear systems and perception-based control
    Aaron Havens, Darioush Kevian, Peter Seiler, and 2 more authors
    IEEE Control Systems Letters, 2023
    PDF

2022

  1. CDC
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    Model-free μ-synthesis via adversarial reinforcement learning
    Darioush Keivan, Aaron Havens, Peter Seiler, and 2 more authors
    In 2022 American Control Conference (ACC), 2022
    PDF

2021

  1. L4DC
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    Forced variational integrator networks for prediction and control of mechanical systems
    Aaron Havens and Girish Chowdhary
    In Learning for Dynamics and Control, 2021
    PDF
  2. ACC
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    On imitation learning of linear control policies: Enforcing stability and robustness constraints via LMI conditions
    Aaron Havens and Bin Hu
    In 2021 American Control Conference (ACC), 2021
    PDF
  3. Reinforcement Learning and Adaptive Control
    Girish Chowdhary, Girish Joshi, and Aaron Havens
    In Encyclopedia of Systems and Control, 2021

2020

  1. RSS
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    A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control
    Naveen Kumar Uppalapati, Benjamin T Walt, Aaron J Havens, and 3 more authors
    In 16th Robotics: Science and Systems, RSS 2020, 2020
    PDF

2019

  1. NeurIPS RL Workshop
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    Learning latent state spaces for planning through reward prediction
    Aaron Havens, Yi Ouyang, Prabhat Nagarajan, and 1 more author
    arXiv preprint arXiv:1912.04201, 2019
    PDF

2018

  1. NeurIPS
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    Online robust policy learning in the presence of unknown adversaries
    Aaron Havens, Zhanhong Jiang, and Soumik Sarkar
    Advances in neural information processing systems, 2018
    PDF