Conditional Injective Flows for Bayesian Imaging-Reference-Cited by-同舟云学术

Conditional Injective Flows for Bayesian Imaging

Author:

Khorashadizadeh AmirEhsan¹^ORCID,Kothari Konik²,Salsi Leonardo¹^ORCID,Harandi Ali Aghababaei³^ORCID,de Hoop Maarten⁴^ORCID,Dokmanić Ivan¹^ORCID

Affiliation:

1. Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland

2. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA

3. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

4. Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA

Funder

European Research Council Starting

U.S. Department of Energy

Simons Foundation

Geo-Mathematical Imaging Group at Rice University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

Reference75 articles.

1. Nice: Non-linear independent components estimation;dinh;Proc Int Conf Learn Representations,0

2. Learning the geometry of wave-based imaging;kothari;Proc Adv Neural Inf Process Syst,0

3. Conditional generative adversarial nets;mirza,2014

5. Glow: Generative flow with invertible 1× 1 convolutions;kingma;Proc Adv Neural Inf Process Syst,0

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