publications

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

2025

  1. CVPR
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    Dual Diffusion for Unified Image Generation and Understanding
    Zijie Li*Henry Li*, Yichun Shi, and 4 more authors
    In CVPR, 2025

2024

  1. arXiv
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    Measurement Consistent Tweedie’s: Solving Inverse Problems with the Conditional Posterior Mean
    Henry Li*, Jonathan Patsenker*, Myeongseob Ko, and 2 more authors
    In arXiv, 2024
  2. NeurIPS
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    Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
    Myeongseob Ko*Henry Li*, Zhun Wang, and 6 more authors
    In NeurIPS, 2024
  3. NeurIPS
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    Solving Inverse Problems via Diffusion Optimal Control
    Henry Li, and Marcus Pereira
    In NeurIPS, 2024
  4. ICLR (Spotlight)
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    Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
    Henry Li, Ronen Basri, and Yuval Kluger
    In ICLR, 2024

2023

  1. ICML
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    Non-normal Diffusion Models
    Henry Li
    In ICML Structured Probabilistic Inference & Generative Modeling, 2023
  2. ICML
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    Exponential weight averaging as damped harmonic motion
    Jon Patsenker*Henry Li*, and Yuval Kluger
    In ICML Frontiers in Learning, Control, and Dynamical Systems, 2023

2022

  1. NeurIPS
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    Noise-conditional Maximum Likelihood Estimation with Score-based Sampling
    Henry Li, and Yuval Kluger
    In NeurIPS Workshop on Score-Based Methods, 2022
  2. ICML
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    Neural Inverse Transform Sampler
    Henry Li, and Yuval Kluger
    In International Conference on Machine Learning, 2022

2021

  1. arXiv
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    Support recovery with stochastic gates: Theory and application for linear models
    Soham Jana, Henry Li, Yutaro Yamada, and 1 more author
    arXiv preprint arXiv:2110.15960, 2021
  2. PNAS
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    Detection of differentially abundant cell subpopulations in scRNA-seq data
    Jun Zhao, Ariel Jaffe, Henry Li, and 6 more authors
    Proceedings of the National Academy of Sciences, 2021
  3. MSML
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    Phase retrieval with holography and untrained priors: Tackling the challenges of low-photon nanoscale imaging
    Hannah Lawrence, David A Barmherzig, Henry Li, and 2 more authors
    In Mathematical and Scientific Machine Learning, 2021

2020

  1. ECCV
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    Variational diffusion autoencoders with random walk sampling
    Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, and 1 more author
    In European Conference on Computer Vision, 2020

2018

  1. ICLR
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    SpectralNet: Spectral Clustering using Deep Neural Networks
    Uri Shaham, Kelly Stanton, Henry Li, and 3 more authors
    In International Conference on Learning Representations, 2018