I joined the group as postdoc in September 2021. Before that, I was a PhD student at ITAV, CNRS, Toulouse, France. I worked on computational microscopy. I did my PhD thesis under the supervision of Pierre Weiss and Thomas Mangeat.
During my PhD thesis, I proposed methods to estimate/learn spatially varying blur operator in the context of microscopy. I first developped and analyzed a framework to estimate such operators in a computationally and mathematically efficient way. Then, I matematically studied blind inverse problems in a simplified framework of isolted spike observations. Finally, I proposed machine learning procedure to solve blind inverse problems, and in particular blind deblurring.
Research interests
I am interested in inverse problems and blind inverse problems for various imaging systems. I am working on developing machine learning algorithms to help solve practical problems, as in Cryo-EM or fluorescence microscopy. I am interested in numerical and theoretical aspects.
Publications
2024
@article{gupta2022differentiable,
title={Differentiable Uncalibrated Imaging},
author={Gupta, Sidharth and Kothari, Konik and Debarnot, Valentin and Dokmani{\'c}, Ivan},
journal={IEEE Transactions on Computational Imaging},
year={2024},
publisher={IEEE}
}
2023
@article{debarnot2021blind,
title={Blind inverse problems with isolated spikes},
author={Debarnot, Valentin and Weiss, Pierre},
journal={Information and Inference},
year={2023}
}
@article{khorashadizadeh2022funknn,
title={FunkNN: Neural Interpolation for Functional Generation},
author={Khorashadizadeh, AmirEhsan and Chaman, Anadi and Debarnot, Valentin and Dokmani{\'c}, Ivan},
journal={ICLR},
year={2023},
projectpage = {https://sada.dmi.unibas.ch/en/research/implicit-neural-representation},
volume={abs/2212.14042},
eprint={2212.14042},
archivePrefix={arXiv},
url={https://openreview.net/forum?id=BT4N_v7CLrk}
}
2022
@article{kratsios2022small,
title={Small Transformers Compute Universal Metric Embeddings},
author={Kratsios, Anastasis and Debarnot, Valentin and Dokmani{\'c}, Ivan},
journal={arXiv preprint arXiv:2209.06788},
year={2022}
}
@article{debarnot2022deep,
title={Deep-Blur: Blind Identification and Deblurring with Convolutional Neural Networks},
author={Debarnot, Valentin and Weiss, Pierre},
year={2022}
}
@article{debarnot2022joint,
title={Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields},
author={Debarnot, Valentin and Gupta, Sidharth and Kothari, Konik and Dokmanic, Ivan},
journal={arXiv preprint arXiv:2211.14534},
year={2022}
}
2020
@article{debarnot2020learning,
title={Learning low-dimensional models of microscopes},
author={Debarnot, Valentin and Escande, Paul and Mangeat, Thomas and Weiss, Pierre},
journal={IEEE Transactions on Computational Imaging},
year={2020},
publisher={IEEE}
}
2019
@article{debarnot2019scalable,
title={A scalable estimator of sets of integral operators},
author={Debarnot, Valentin and Escande, Paul and Weiss, Pierre},
journal={Inverse Problems},
volume={35},
number={10},
pages={105011},
year={2019},
publisher={IOP Publishing}
}
@article{debarnot2019multiview,
title={Multiview Attenuation Estimation and Correction},
author={Debarnot, Valentin and Kahn, Jonas and Weiss, Pierre},
journal={Journal of Mathematical Imaging and Vision},
volume={61},
number={6},
pages={780--797},
year={2019},
publisher={Springer}
}