publications

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

2025

  1. scigym.png
    Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab
    Haonan Duan, Stephen Zhewen Lu, Caitlin Fiona Harrigan, Nishkrit Desai, Jiarui Lu, Michał Koziarski, Leonardo Cotta, and Chris J Maddison
    NeurIPS, 2025
    arXiv Code Website
  2. dna.png
    BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
    Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta, Shihao Ma, Jack Naimer, Arnav Shah, Haonan Duan, Omar Ibrahim, Hani Goodarzi, Chris J Maddison, and others
    NeurIPS, 2025
    arXiv
  3. protein.png
    Boosting the predictive power of protein representations with a corpus of text annotations
    Haonan Duan, Marta Skreta, Leonardo Cotta, Ella Miray Rajaonson, Nikita Dhawan, Alán Aspuru-Guzik, and Chris J Maddison
    Nature Machine Intelligence, 2025
    PDF
  4. quantum.png
    Meta-designing quantum experiments with language models
    Sören Arlt, Haonan Duan, Felix Li, Sang Michael Xie, Yuhuai Wu, and Mario Krenn
    Nature Machine Intelligence, 2025
    arXiv

2023

  1. data_privacy.jpg
    Flocks of stochastic parrots: Differentially private prompt learning for large language models
    Haonan Duan, Adam Dziedzic, Nicolas Papernot, and Franziska Boenisch
    Advances in Neural Information Processing Systems, 2023
    arXiv
  2. membership.jpg
    On the Privacy Risk of In-context Learning
    Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, and Franziska Boenisch
    In The 61st Annual Meeting Of The Association For Computational Linguistics, 2023

2022

  1. dataset.png
    Dataset inference for self-supervised models
    Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, and Nicolas Papernot
    Advances in Neural Information Processing Systems, 2022
  2. sat.jpg
    Augment with care: Contrastive learning for combinatorial problems
    Haonan Duan, Pashootan Vaezipoor, Max B Paulus, Yangjun Ruan, and Chris Maddison
    In International Conference on Machine Learning, 2022
    arXiv

2021

  1. rl.jpg
    Distributional reinforcement learning with monotonic splines
    Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, and Pascal Poupart
    In International Conference on Learning Representations, 2021

2020

  1. sat_solver.jpg
    Online bayesian moment matching based sat solver heuristics
    Haonan Duan, Saeed Nejati, George Trimponias, Pascal Poupart, and Vijay Ganesh
    In International Conference on Machine Learning, 2020