Bio

I am a Ph.D. student at the department of mathematics and computer science of the University of Basel. I received my Ms.c. and Bs.c. respectively from the Sharif University of Technology and the University of Tehran in Electrical Engineering, Communication Systems. Currently, I am working under the supervision of Prof. Ivan Dokmanić at the SADA group.

[Email] [Google Scholar] [Github] [LinkedIn] [Download CV]

 

News

  • Feb 2023: Our paper "Conditional Injective Flows for Bayesian Imaging" has been accepted by IEEE Transactions on Computational Imaging.
  • Jan 2023: Our paper "FunkNN: Neural Interpolation for Functional Generation" has been accepted by ICLR 2023.
  • Jan 2023:  A new preprint "Deep Injective Prior for Inverse Scattering" is available on Arxiv.
  • Dec 2022: Our paper has been accepted by European Conference on Antennas and Propagation (EUCAP 2023).
  • Dec 2022:  A new preprint "FunkNN: Neural Interpolation for Functional Generation" is available on Arxiv.
  • Aug 2022: I participated in Roche Predictive Modeling and Data Analytics summer school hosted by Hoffmann-La Roche Ltd. 
  • Jun 2021: Our paper has been accepted by Conference on Uncertainty in Artificial Intelligence (UAI 2021).
  • April 2020: I started my Ph.D. at the SADA group, University of Basel.

Research interests

Deep Learning

Generative Modeling

Computational Imaging

Publications

2023

khorashadizadeh2022deepinjective
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Deep Injective Prior for Inverse Scattering
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ArXiv, 2023
More arXiv 
@article{khorashadizadeh2022deepinjective,
  title={Deep Injective Prior for Inverse Scattering},
  author={Khorashadizadeh, AmirEhsan and Eskandari, Sepehr and Khorashadi-Zadeh, Vahid and Dokmani{\'c}, Ivan},
  journal={ArXiv},
  year={2023},
  projectpage = {https://sada.dmi.unibas.ch/en/research/injective-flows},
  volume={abs/2301.03092},
  eprint={2301.03092},
  archivePrefix={arXiv},
  code={https://github.com/swing-research/scattering_injective_prior}
}
khorashadizadeh2022funknn
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FunkNN: Neural Interpolation for Functional Generation
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ICLR, 2023
More 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}
}
DeepVI
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Deep Variational Inverse Scattering
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EUCAP, 2023
More arXiv 
@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}
}
ctrumpets
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Conditional Injective Flows for Bayesian Imaging
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IEEE Transactions on Computational Imaging, 2023
More arXiv 
@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}
}

2022

vlavsic2022implicit
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Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering
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ArXiv, 2022
More arXiv 
@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={ArXiv},
  year={2022},
  projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
  volume={abs/2206.02027},
  eprint={2206.02027},
  archivePrefix={arXiv}
}

2021

kothari2021trumpets
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Trumpets: Injective flows for inference and inverse problems
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Uncertainty in Artificial Intelligence, 2021
More URL 
@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

prunning
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A novel pruning approach for bagging ensemble regression based on sparse representation
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ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
 
@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}
}