publications

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

2024

  1. ICLR (Spotlight)
    Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
    Li, Henry, Basri, Ronen, and Kluger, Yuval
    In ICLR 2024
    PDF

2023

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

2022

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

2021

  1. arXiv
    Support recovery with stochastic gates: Theory and application for linear models
    Jana, Soham,  Li, Henry, Yamada, Yutaro, and Lindenbaum, Ofir
    arXiv preprint arXiv:2110.15960 2021
    PDF
  2. PNAS
    Detection of differentially abundant cell subpopulations in scRNA-seq data
    Zhao, Jun, Jaffe, Ariel,  Li, Henry, Lindenbaum, Ofir, Sefik, Esen, Jackson, Ruaidhrı́, Cheng, Xiuyuan, Flavell, Richard A, and Kluger, Yuval
    Proceedings of the National Academy of Sciences 2021
    PDF
  3. MSML
    Phase retrieval with holography and untrained priors: Tackling the challenges of low-photon nanoscale imaging
    Lawrence, Hannah, Barmherzig, David A,  Li, Henry, Eickenberg, Michael, and Gabrié, Marylou
    In Mathematical and Scientific Machine Learning 2021
    PDF

2020

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

2018

  1. ICLR
    SpectralNet: Spectral Clustering using Deep Neural Networks
    Shaham, Uri, Stanton, Kelly,  Li, Henry, Basri, Ronen, Nadler, Boaz, and Kluger, Yuval
    In International Conference on Learning Representations 2018
    PDF