AmirEhsan Khorashadizadeh

According to our database, AmirEhsan Khorashadizadeh authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GLIMPSE: Generalized Local Imaging with MLPs.

AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic

CoRR, 2024

2023

Conditional Injective Flows for Bayesian Imaging.

AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic

IEEE Trans. Computational Imaging, 2023

Deep Injective Prior for Inverse Scattering.

AmirEhsan Khorashadizadeh, Sepehr Eskandari, Vahid Khorashadi-Zadeh, Ivan Dokmanic

CoRR, 2023

FunkNN: Neural Interpolation for Functional Generation.

AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot, Ivan Dokmanic

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Variational Inverse Scattering.

AmirEhsan Khorashadizadeh, Ali Aghababaei Harandi, Tin Vlasic, Hieu Nguyen, Ivan Dokmanic

CoRR, 2022

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering.

Tin Vlasic, Hieu Nguyen, AmirEhsan Khorashadizadeh, Ivan Dokmanic

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Trumpets: Injective flows for inference and inverse problems.

Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021