publications

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

2025

  1. patsenker2025injecting.png
    Injecting Measurement Information Yields a Fast and Noise-Robust Diffusion-Based Inverse Problem Solver
    Jonathan Patsenker, Henry Li, Myeongseob Ko, and 2 more authors
    arXiv preprint arXiv:2508.02964, 2025
    arXiv
  2. wang2025supervised.png
    Supervised fine-tuning of pre-trained antibody language models improves antigen specificity prediction
    Meng Wang, Jonathan Patsenker, Henry Li, and 2 more authors
    PLOS Computational Biology, 2025
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2024

  1. wang2024language.png
    Language model-based B cell receptor sequence embeddings can effectively encode receptor specificity
    Meng Wang, Jonathan Patsenker, Henry Li, and 2 more authors
    Nucleic acids research, 2024
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  2. ko2024boosting.png
    Boosting alignment for post-unlearning text-to-image generative models
    Myeongseob Ko, Henry Li, Zhun Wang, and 6 more authors
    Advances in Neural Information Processing Systems, 2024
    arXiv

2023

  1. patsenker2023exponential.png
    Exponential weight averaging as damped harmonic motion
    Jonathan Patsenker, Henry Li, and Yuval Kluger
    arXiv preprint arXiv:2310.13854, 2023
    arXiv Poster

2022

  1. irshaid2022histopathologic.png
    Histopathologic and machine deep learning criteria to predict lymphoma transformation in bone marrow biopsies
    Lina Irshaid, Jonathan Bleiberg, Ethan Weinberger, and 7 more authors
    Archives of Pathology & Laboratory Medicine, 2022
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2020

  1. jaffe2020spectral.png
    The spectral underpinning of word2vec
    Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, and 3 more authors
    Frontiers in applied mathematics and statistics, 2020
    arXiv

2019

  1. carvajal2019multiplexed.png
    Multiplexed (18-Plex) measurement of signaling targets and cytotoxic T cells in trastuzumab-treated patients using imaging mass cytometry
    Daniel E Carvajal-Hausdorf, Jonathan Patsenker, Kelly P Stanton, and 8 more authors
    Clinical Cancer Research, 2019
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2016

  1. savova2016dbmae.png
    dbMAE: the database of autosomal monoallelic expression
    Virginia Savova, Jon Patsenker, Sébastien Vigneau, and 1 more author
    Nucleic acids research, 2016
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