Conditional Injective Flows for Bayesian Imaging

Conditional Injective Flows for Bayesian Imaging

15 April 2022

AmirEhsan Khorashadizadeh

Ali Aghababaei Harandi

Maarten V. de Hoop

Papers citing "Conditional Injective Flows for Bayesian Imaging"

16 / 16 papers shown

Title
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models Caroline Tatsuoka Minglei Yang Dongbin Xiu Guannan Zhang DiffM 35 1 0 02 Apr 2025
LoFi: Neural Local Fields for Scalable Image Reconstruction AmirEhsan Khorashadizadeh T. Liaudat Tianlin Liu Jason D. McEwen Ivan Dokmanić SupR 34 0 0 07 Nov 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 22 0 0 09 Feb 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 22 0 0 01 Jan 2024
InvertibleNetworks.jl: A Julia package for scalable normalizing flows Rafael Orozco Philipp A. Witte M. Louboutin Ali Siahkoohi G. Rizzuti B. Peters Felix J. Herrmann 19 9 0 20 Dec 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 17 6 0 09 Sep 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling Tin Vlašić Tomislav Matulić D. Seršić MedIm 15 1 0 07 Jun 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 13 6 0 08 Jan 2023
FunkNN: Neural Interpolation for Functional Generation AmirEhsan Khorashadizadeh Anadi Chaman Valentin Debarnot Ivan Dokmanić 27 7 0 20 Dec 2022
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 25 2 0 08 Dec 2022
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver Peimeng Guan Jihui Jin J. Romberg Mark A. Davenport 16 4 0 10 Oct 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 23 24 0 24 Jul 2022
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography Francisca Vasconcelos Bobby He Nalini Singh Yee Whye Teh BDL OOD UQCV 21 12 0 22 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 56 31 0 11 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018