Ali Siahkoohi

According to our database, Ali Siahkoohi authored at least 30 papers between 2011 and 2024.

Collaborative distances:

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

2024

Boomerang: Local sampling on image manifolds using diffusion models.

Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk

Trans. Mach. Learn. Res., 2024

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann

J. Open Source Softw., 2024

Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems.

Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop

CoRR, 2024

Removing Bias from Maximum Likelihood Estimation with Model Autophagy.

Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk

CoRR, 2024

ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems.

Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2024

Self-Consuming Generative Models Go MAD.

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders.

Ali Siahkoohi, Rudy Morel, Randall Balestriero, Erwan Allys, Grégory Sainton, Taichi Kawamura, Maarten V. de Hoop

CoRR, 2023

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics.

Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.

Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, Felix J. Herrmann

CoRR, 2023

Conditional score-based diffusion models for Bayesian inference in infinite dimensions.

Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.

Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann

Proceedings of the Medical Imaging with Deep Learning, 2023

Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data.

Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura

Proceedings of the International Conference on Machine Learning, 2023

2022

Reliable amortized variational inference with physics-based latent distribution correction.

Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators.

Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification.

Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

Ultra-Low-Bitrate Speech Coding with Pretrained Transformers.

Ali Siahkoohi, Michael Chinen, Tom Denton, W. Bastiaan Kleijn, Jan Skoglund

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Low-memory stochastic backpropagation with multi-channel randomized trace estimation.

Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, Felix J. Herrmann

CoRR, 2021

Learning by example: fast reliability-aware seismic imaging with normalizing flows.

Ali Siahkoohi, Felix J. Herrmann

CoRR, 2021

Preconditioned training of normalizing flows for variational inference in inverse problems.

Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann

CoRR, 2021

2020

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.

Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann

CoRR, 2020

Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization.

Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann

CoRR, 2020

Transfer learning in large-scale ocean bottom seismic wavefield reconstruction.

Mi Zhang, Ali Siahkoohi, Felix J. Herrmann

CoRR, 2020

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach.

Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification.

Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

2019

Neural network augmented wave-equation simulation.

Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2019

Learned imaging with constraints and uncertainty quantification.

Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti

CoRR, 2019

2011

A content-based digital image watermarking algorithm robust against JPEG compression.

Amir Najafi, Ali Siahkoohi, Mohammad B. Shamsollahi

Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011