Publications

2026

  1. CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning
    Kishore, Vinith and Debarnot, Valentin and Khorashadizadeh, AmirEhsan and Righetto, Ricardo D and Engel, Benjamin D and Dokmanić, Ivan
    arXiv preprint arXiv:2501.15246, 2026
    PDF
  2. Fast Volume Alignment by Frequency-Marched Newton
    Kruse, Fabian and Debarnot, Valentin and Kishore, Vinith and Dokmanić, Ivan
    arXiv preprint arXiv:2603.15285, 2026
    PDF
  3. Icecream: High-Fidelity Equivariant Cryo-Electron Tomography
    Kishore, Vinith and Debarnot, Valentin and Righetto, Ricardo D and Engel, Benjamin D and Dokmanić, Ivan
    Acta Crystallographica Section D, 2026
    PDF

2025

  1. GLIMPSE: Generalized Locality for Scalable and Robust CT
    Khorashadizadeh, AmirEhsan and Debarnot, Valentin and Liu, Tianlin and Dokmanić, Ivan
    IEEE Transactions on Medical Imaging, 2025
    PDF

2024

  1. Ice-tide: Implicit cryo-et imaging and deformation estimation
    Debarnot, Valentin and Kishore, Vinith and Righetto, Ricardo D and Dokmanic, Ivan
    IEEE Transactions on Computational Imaging, 2024
    PDF
  2. Differentiable Uncalibrated Imaging
    Gupta, Sidharth and Kothari, Konik and Debarnot, Valentin and Dokmanić, Ivan
    IEEE Transactions on Computational Imaging, 2024
    PDF
  3. Deep-blur: Blind identification and deblurring with convolutional neural networks
    Debarnot, Valentin and Weiss, Pierre
    Biological Imaging, 2024
    PDF

2023

  1. Small Transformers Compute Universal Metric Embeddings
    Kratsios, Anastasis and Debarnot, Valentin and Dokmanić, Ivan
    Journal of Machine Learning Research, 2023
    PDF
  2. FunkNN: Neural Interpolation for Functional Generation
    Khorashadizadeh, AmirEhsan and Chaman, Anadi and Debarnot, Valentin and Dokmanić, Ivan
    ICLR, 2023
    PDF
  3. Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
    Debarnot, Valentin and Gupta, Sidharth and Kothari, Konik and Dokmanić, Ivan
    ICASSP, 2023
    PDF

2022

  1. Blind inverse problems with isolated spikes
    Debarnot, Valentin and Weiss, Pierre
    Information and Inference: A Journal of the IMA, 2022
    PDF
  2. Manifold rewiring for unlabeled imaging
    Debarnot, Valentin and Kishore, Vinith and Shi, Cheng and Dokmanić, Ivan
    APSIPA, 2022
    PDF

2021

  1. Super-resolved live-cell imaging using random illumination microscopy
    Mangeat, Thomas and Labouesse, Simon and Allain, Marc and Negash, Awoke and Martin, Emmanuel and Guénolé, Aude and Poincloux, Renaud and Estibal, Claire and Bouissou, Anaïs and Cantaloube, Sylvain and Vega, Elodie and Li, Tong and Rouvière, Christian and Allart, Sophie and Keller, Debora and Debarnot, Valentin and Wang, Xia Bo and Michaux, Grégoire and Pinot, Mathieu and Le Borgne, Roland and Tournier, Sylvie and Suzanne, Magali and Idier, Jérome and Sentenac, Anne
    Cell Reports Methods, 2021
    PDF
  2. Modelling a Microscope as Low Dimensional Subspace of Operators
    Debarnot, Valentin and Escande, Paul and Mangeat, Thomas and Weiss, Pierre
    EUSIPCO, 2021
    PDF
  3. Deepblur: Blind Identification Of Space Variant Psf
    Debarnot, Valentin and Weiss, Pierre
    ISBI, 2021
    PDF

2020

  1. Learning low-dimensional models of microscopes
    Debarnot, Valentin and Escande, Paul and Mangeat, Thomas and Weiss, Pierre
    IEEE Transactions on Computational Imaging, 2020
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2019

  1. A scalable estimator of sets of integral operators
    Debarnot, Valentin and Escande, Paul and Weiss, Pierre
    Inverse Problems, 2019
    PDF
  2. Multiview Attenuation Estimation and Correction
    Debarnot, Valentin and Kahn, Jonas and Weiss, Pierre
    Journal of Mathematical Imaging and Vision, 2019
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  3. Blind-deblurring: learning based approach
    Debarnot, Valentin and Escande, Paul and Mangeat, Thomas and Weiss, Pierre
    OSA, 2019
    PDF
  4. A scalable estimator of space varying blurs: Application in super-resolution
    Debarnot, Valentin and Escande, Paul and Mangeat, Thomas and Weiss, Pierre
    SPARS, 2019
    PDF
  5. Segmentation: a data driven approach though neural network
    Debarnot, Valentin and Lebrat, Léo
    ISBI, 2019
    PDF

2018

  1. The Case of Neumann, Robin, and Periodic Lateral Conditions for the Semi-infinite Generalized Graetz Problem and Applications
    Debarnot, Valentin and Fehrenbach, Jérôme and de Gournay, Frédéric and Martire, Léo
    SIAM Journal on Applied Mathematics, 2018
    PDF