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] [CV (updated on 20.08.2023)]
News
- August 2023: Our paper "Deep Injective Prior for Inverse Scattering" has been accepted by IEEE Transactions on Antennas and Propagation.
- July 2023: I won the poster competition at the Maths4DL conference in London.
- July 2023: I am awarded a grant by the Promotion of Young Talent at the University of Basel to spend 9 months as a visiting scholar at University College London (UCL), focused on leveraging deep generative models for astrophysics in Prof. Jason McEwen's group.
- May 2023: I present Our paper at ICLR 2023, Kigali, Rwanda.
- March 2023: I present Our paper at European Conference on Antennas and Propagation (EUCAP 2023), Florance, Italy.
- 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
@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}
}
@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
@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
@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
@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}
}