Amir joined the Paul Scherer Institute in Villigen, Switzerland.
I was a Ph.D. student at the University of Basel under the supervision of Prof. Ivan Dokmanić at the SADA group.
Research interests
Deep Learning
Generative Modeling
Computational Imaging
Publications
2023
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@article{khorashadizadeh2022deepinjective,
title={Deep Injective Prior for Inverse Scattering},
author={AmirEhsan Khorashadizadeh and Vahid Khorashadizadeh and Sepehr Eskandari and Guy A.E. Vandenbosch and Ivan Dokmani{\'c} },
journal={IEEE Transactions on Antennas and Propagation},
year={2023},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
volume={abs/2301.03092},
eprint={2301.03092},
archivePrefix={arXiv}
}
@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}
}
@article{DeepVI,
title={Deep Variational Inverse Scattering},
author={AmirEhsan Khorashadizadeh and Ali Aghababaei and Tin Vlavsi\'c and Hieu Nguyen and Ivan Dokmani\'c},
journal={EUCAP},
year={2023},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
volume={abs/2212.04309},
eprint={2212.04309},
archivePrefix={arXiv}
}
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@article{ctrumpets,
title={Conditional Injective Flows for Bayesian Imaging},
author={AmirEhsan Khorashadizadeh and Konik Kothari and Leonardo Salsi and Ali Aghababaei Harandi and Maarten de Hoop and Ivan Dokmani\'c},
journal={IEEE Transactions on Computational Imaging},
year={2023},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
volume={abs/2204.07664},
eprint={2204.07664},
archivePrefix={arXiv},
url={https://ieeexplore.ieee.org/document/10054422}
}
2022
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@article{vlavsic2022implicit,
title={Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering},
author={Vla{\v{s}}i{\'c}, Tin and Nguyen, Hieu and Khorashadizadeh, AmirEhsan and Dokmani{\'c}, Ivan},
journal={56th Asilomar Conference on Signals, Systems, and Computers},
year={2022},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
volume={abs/2206.02027},
eprint={2206.02027},
archivePrefix={arXiv}
}
2021
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@inproceedings{kothari2021trumpets,
title={Trumpets: Injective flows for inference and inverse problems},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
author={Kothari, Konik and Khorashadizadeh, AmirEhsan and de Hoop, Maarten and Dokmani{\'c}, Ivan},
booktitle={Uncertainty in Artificial Intelligence},
pages={1269--1278},
year={2021},
organization={PMLR},
url={https://proceedings.mlr.press/v161/kothari21a.html}}
2020
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@inproceedings{khorashadi2020novel,
title={A novel pruning approach for bagging ensemble regression based on sparse representation},
author={Khorashadi-Zadeh, Amir Ehsan and Babaie-Zadeh, Massoud and Jutten, Christian},
booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={4032--4036},
year={2020},
organization={IEEE},
url={https://ieeexplore.ieee.org/document/9053835}
}