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---
title: Ali Siahkoohi
subtitle: Simons Postdoctoral Fellow
description: |
Department of Computational Applied Mathematics and Operations Research<br>
Rice University<br>
Houston, TX, USA<br>
[[[alisk@rice.edu]{.underline}](mailto:alisk@rice.edu)]   [[[CV]{.underline}](./files/AliSiahkoohi-CV.pdf)]   [[[GitHub]{.underline}](https://github.com/alisiahkoohi)]   [[[Google Scholar]{.underline}](https://scholar.google.com/citations?hl=en&user=sxRMqYIAAAAJ&view_op=list_works&sortby=pubdate)]
navbar: false
about:
id: heading
template: solana
---
:::{#heading}
:::
## Research interests
I conduct research on scientific machine learning under the mentorship of [Maarten V. de Hoop](http://maartendehoop.rice.edu/) and [Richard G. Baraniuk](https://richb.rice.edu/), developing scalable methods to overcome computational challenges in the physical and data sciences.
*Keywords:* generative models, variational inference, scientific machine learning, uncertainty quantification
## Education
**Georgia Institute of Technology**, Atlanta, GA, USA
Ph.D., 2022, *Computational Science and Engineering*
Minor in *Applied Mathematics*
**University of Tehran**, Tehran, Iran
M.Sc., 2016, *Geophysics*
**Sharif University of Technology**, Tehran, Iran
B.Sc., 2013, *Electrical Engineering*
## Publications
### Preprints
**Removing bias from maximum likelihood estimation with model autophagy**
P. M. Mayer, L. Luzi, [A. Siahkoohi]{.underline}, D. H. Johnson, and R. G. Baraniuk
2024.
[[pdf](https://arxiv.org/abs/2405.13977)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/MayerLuziSiahkoohiEtAl_2024.bib)]
**Taming score-based diffusion priors for infinite-dimensional nonlinear inverse problems**
L. Baldassari, [A. Siahkoohi]{.underline}, J. Garnier, K. Sølna, and M. V. de Hoop
2024.
[[pdf](https://arxiv.org/abs/2405.15676)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/BaldassariSiahkoohiGarnierEtAl_2024.bib)]
**ASPIRE: Iterative amortized posterior inference for Bayesian inverse problems**
R. Orozco, [A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
2024.
[[pdf](https://arxiv.org/abs/2405.05398)]
[[code](https://github.com/slimgroup/ASPIRE.jl)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoSiahkoohiLouboutinEtAl_2024.bib)]
**InvertibleNetworks.jl: A Julia package for scalable normalizing flows**
R. Orozco, P. Witte, M. Louboutin, [A. Siahkoohi]{.underline}, G. Rizzuti, B. Peters, and F. J. Herrmann
2023.
[[pdf](https://arxiv.org/abs/2312.13480)]
[[code](https://github.com/slimgroup/InvertibleNetworks.jl)]
[[link](https://joss.theoj.org/papers/b1e8bc48e52694bcc9e4fb87634fc39f)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoWitteLouboutinEtAl_2023.bib)]
---
### Journal papers
**Boomerang: Local sampling on image manifolds using diffusion models**
L. Luzi, P. M. Mayer, J. Casco-Rodriguez, [A. Siahkoohi]{.underline}, and R. G. Baraniuk
*Transactions on Machine Learning Research*, 2024.
[[pdf](https://openreview.net/pdf?id=NYdThkjNW1)]
[[code](https://colab.research.google.com/drive/1PV5Z6b14HYZNx1lHCaEVhId-Y4baKXwt)]
[[link](https://openreview.net/forum?id=NYdThkjNW1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/LuziMayerCasco_RodriguezEtAl_2024.bib)]
**Learned multiphysics inversion with differentiable programming and machine learning**
M. Louboutin, Z. Yin, R. Orozco, T. J. Grady II, [A. Siahkoohi]{.underline}, G. Rizzuti, P. A. Witte, O. Møyner, G. J. Gorman, and F. J. Herrmann
*The Leading Edge*, 42(7):474--486, 2023.
[[pdf](https://slim.gatech.edu/Publications/Public/Journals/TheLeadingEdge/2023/louboutin2023lmi/le_software.pdf)]
[[link](https://library.seg.org/doi/10.1190/tle42070474.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/LouboutinYinOrozcoEtAl_2023.bib)]
[featured in [Seismic Soundoff](https://seg.org/podcasts/episode-194-improving-integration-in-machine-learning-workflows/)]
**Optimized time-lapse acquisition design via spectral gap ratio minimization**
Y. Zhang, Z. Yin, O. López, [A. Siahkoohi]{.underline}, M. Louboutin, R. Kumar, and F. J. Herrmann
*Geophysics*, 88(4):A19--A23, 2023.
[[pdf](https://arxiv.org/abs/2302.01534)]
[[link](https://library.seg.org/doi/10.1190/geo2023-0024.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/ZhangYinLopezEtAl_2023b.bib)]
**Reliable amortized variational inference with physics-based latent distribution correction**
[A. Siahkoohi]{.underline}, G. Rizzuti, R. Orozco, and F. J. Herrmann
*Geophysics*, 88(3):R297--R322, 2023.
[[pdf](https://arxiv.org/abs/2207.11640)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2022/siahkoohi2022SEGWSrav/Thur-15-55-Siahkoohi.pdf)]
[[code](https://github.com/slimgroup/ReliableAVI.jl)]
[[link](https://library.seg.org/doi/abs/10.1190/geo2022-0472.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiOrozcoEtAl_2023.bib)]
[featured in [Geophysics Bright Spots](https://library.seg.org/doi/10.1190/tle42080572.1)]
**Deep Bayesian inference for seismic imaging with tasks**
[A. Siahkoohi]{.underline}, G. Rizzuti, and F. J. Herrmann
*Geophysics*, 87(5):S281--S302, 2022.
[[pdf](https://arxiv.org/abs/2110.04825)]
[[code](https://github.com/slimgroup/dp4imaging)]
[[link](https://library.seg.org/doi/10.1190/geo2021-0666.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiHerrmann_2022.bib)]
**The importance of transfer learning in seismic modeling and imaging**
[A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
*Geophysics*, 84(6):A47--A52, 2019.
[[pdf](https://slim.gatech.edu/Publications/Public/Journals/Geophysics/2019/siahkoohi2019itl/siahkoohi2019itl.pdf)]
[[code](https://github.com/alisiahkoohi/importance-of-transfer-learning)]
[[link](https://library.seg.org/doi/10.1190/geo2019-0056.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiLouboutinHerrmann_2019a.bib)]
---
### Conference proceedings and presentations
**Self-consuming generative models go MAD**
S. Alemohammad, J. Casco-Rodriguez, L. Luzi, A. I. Humayun, H. Babaei, D. LeJeune, [A. Siahkoohi]{.underline}, and R. G. Baraniuk
*The Twelfth International Conference on Learning Representations*, 2024.
[[pdf](https://openreview.net/pdf?id=ShjMHfmPs0)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/AlemohammadCasco_RodriguezLuziEtAl_2024.bib)]
[featured in the news
^[1](https://www.tomshardware.com/news/generative-ai-goes-mad-when-trained-on-artificial-data-over-five-times),^
^[2](https://futurism.com/ai-trained-ai-generated-data),^
^[3](https://cointelegraph.com/magazine/ai-eye-ai-content-cannibalization-problem-threads-a-loss-leader-for-ai-data/),^
^[4](https://www.newscientist.com/article/2382519-ais-trained-on-ai-generated-images-produce-glitches-and-blurs/),^
^[5](https://futurism.com/ai-trained-ai-generated-data-interview),^
^[6](https://wired.me/technology/synthetic-data-harm-ai/),^
^[7](https://finance.yahoo.com/news/ais-mad-cow-disease-problem-tramples-into-earnings-season-100005953.html),^
^[8](https://www.telegraph.co.uk/business/2024/02/01/why-ai-new-age-of-fake-news-and-disinformation/)^]
**Titan: Bringing the deep image prior to implicit representations**
L. Luzi, D. LeJeune, [A. Siahkoohi]{.underline}, S. Alemohammad, V. Saragadam, H. Babaei, N. Liu, Z. Wang, and R. G. Baraniuk
*IEEE International Conference on Acoustics, Speech and Signal Processing*, pages 6165--6169, 2024.
[[pdf](https://arxiv.org/abs/2211.00219)]
[[code](https://github.com/dlej/titan-implicit-prior)]
[[link](https://ieeexplore.ieee.org/document/10446136)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/LuziLeJeuneSiahkoohiEtAl_2024.bib)]
**Conditional score-based diffusion models for Bayesian inference in infinite dimensions**
L. Baldassari, [A. Siahkoohi]{.underline}, J. Garnier, K. Sølna, and M. V. de Hoop
*Advances in Neural Information Processing Systems*, volume 36, pages 24262--24290, 2023.
[[pdf](https://papers.nips.cc/paper_files/paper/2023/file/4c79c359b3c5f077c0b955f93cb0f53e-Paper-Conference.pdf)]
[[slides](https://www.dropbox.com/scl/fi/bmgnbex0zcf575fjgzybu/slides.pdf?rlkey=2rd9nhc4a6tt8s65lk5sqbz2r&dl=0)]
[[poster](https://www.dropbox.com/scl/fi/7t9p0gogw6g7dmn8u52c6/poster.pdf?rlkey=sftpfelbglvrpi4lkn6tgp31q&dl=0)]
[[code](https://github.com/alisiahkoohi/csgm)]
[[link](https://papers.nips.cc/paper_files/paper/2023/hash/4c79c359b3c5f077c0b955f93cb0f53e-Abstract-Conference.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/BaldassariSiahkoohiGarnierEtAl_2023.bib)] [featured as a [Spotlight presentation](https://nips.cc/virtual/2023/events/spotlight-posters-2023)]
**Unearthing InSights into Mars: Unsupervised source separation with limited data**
[A. Siahkoohi]{.underline}, R. Morel, M. V. de Hoop, E. Allys, G. Sainton, and T. Kawamura
*Proceedings of the 40th International Conference on Machine Learning*, volume 202, pages 31754--31772, 2023.
[[pdf](https://proceedings.mlr.press/v202/siahkoohi23a/siahkoohi23a.pdf)]
[[slides](https://www.dropbox.com/scl/fi/k5fmfp4cs97u5he3niowa/slides.pdf?rlkey=m6rmkye7c8bmrxx5upqzs20nk&dl=0)]
[[poster](https://www.dropbox.com/scl/fi/eny6xqxt9uvjzhv080dpj/poster.pdf?rlkey=ddveuoe1d3c8jh17rrhn4o9x8&dl=0)]
[[code](https://github.com/alisiahkoohi/insight_src_sep)]
[[link](https://proceedings.mlr.press/v202/siahkoohi23a.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiMorelHoopEtAl_2023.bib)]
**Amortized normalizing flows for transcranial ultrasound with uncertainty quantification**
R. Orozco, M. Louboutin, [A. Siahkoohi]{.underline}, G. Rizzuti, T. van Leeuwen, and F. J. Herrmann
*Medical Imaging with Deep Learning*, volume 227, pages 332--349, 2023.
[[pdf](https://proceedings.mlr.press/v227/orozco24a/orozco24a.pdf)]
[[link](https://proceedings.mlr.press/v227/orozco24a.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoLouboutinSiahkoohiEtAl_2023.bib)]
**Refining amortized posterior approximations using gradient-based summary statistics**
R. Orozco, [A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
*5th Symposium on Advances in Approximate Bayesian Inference*, 2023.
[[pdf](https://openreview.net/forum?id=3ukmQJ8Ky2N)]
[[link](http://approximateinference.org/)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoSiahkoohiLouboutinEtAl_2023.bib)]
**Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification**
R. Orozco, [A. Siahkoohi]{.underline}, G. Rizzuti, T. van Leeuwen, and F. J. Herrmann
*Medical Imaging 2023: Image Processing*, volume 12464, page 124641L, 2023.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/SPIE/2023/orozco2022SPIEadjoint/SPIE_2022_adjoint.pdf)]
[[link](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12464/124641L/Adjoint-operators-enable-fast-and-amortized-machine-learning-based-Bayesian/10.1117/12.2651691.short)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoSiahkoohiRizzutiEtAl_2023.bib)]
**Learned one-shot imaging**
M. Louboutin, R. Orozco, [A. Siahkoohi]{.underline}, and F. J. Herrmann
*Third International Meeting for Applied Geoscience \& Energy*, 2023.
[[html](https://slimgroup.github.io/IMAGE2023/OneShot/abstract.html)]
[[poster](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2023/louboutin2023IMAGEloi/louboutin2023IMAGEloi_pres.pdf)]
[[code](https://github.com/mloubout/OneShotImaging)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoSiahkoohiRizzutiEtAl_2023.bib)]
**3D seismic survey design by maximizing the spectral gap**
Y. Zhang, Z. Yin, O. Lopez, [A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
*Third International Meeting for Applied Geoscience \& Energy*, 2023.
[[pdf](https://arxiv.org/abs/2311.02298)]
[[poster](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2023/zhang2023IMAGEssd/zhang2023IMAGEssd_pres.pdf)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/ZhangYinLopezEtAl_2023.bib)]
**Ultra-low-bitrate speech coding with pretrained Transformers**
[A. Siahkoohi]{.underline}, M. Chinen, T. Denton, W. B. Kleijn, and J. Skoglund
*Proceedings of Interspeech*, pages 4421--4425, 2022.
[[pdf](https://www.isca-archive.org/interspeech_2022/siahkoohi22_interspeech.pdf)]
[[link](https://www.isca-archive.org/interspeech_2022/siahkoohi22_interspeech.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiChinenDentonEtAl_2022.bib)]
**Velocity continuation with Fourier neural operators for accelerated uncertainty quantification**
[A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1765--1769, 2022.
[[pdf](https://arxiv.org/abs/2203.14386)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2022/siahkoohi2022SEGvcw/Tue-16-30-Siahkoohi.pdf)]
[[code](https://github.com/slimgroup/fno4vc)]
[[link](https://library.seg.org/doi/10.1190/image2022-3750475.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiLouboutinHerrmann_2022.bib)]
**Accelerating innovation with software abstractions for scalable computational geophysics**
M. Louboutin, P. Witte, [A. Siahkoohi]{.underline}, G. Rizzuti, Z. Yin, R. Orozco, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1482--1486, 2022.
[[pdf](https://arxiv.org/abs/2203.15038)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2022/louboutin2022SEGais/index.html)]
[[link](https://library.seg.org/doi/10.1190/image2022-3750561.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/LouboutinWitteSiahkoohiEtAl_2022.bib)]
**Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators**
Z. Yin, [A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 467--472, 2022.
[[pdf](https://arxiv.org/abs/2203.14396)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2022/yin2022SEGlci/index.html)]
[[code](https://github.com/slimgroup/FNO4CO2)]
[[link](https://library.seg.org/doi/10.1190/image2022-3722848.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/YinSiahkoohiLouboutinEtAl_2022.bib)]
**A simulation-free seismic survey design by maximizing the spectral gap**
Y. Zhang, M. Louboutin, [A. Siahkoohi]{.underline}, Z. Yin, R. Kumar, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 15--20, 2022.
[[pdf](https://arxiv.org/abs/2204.02801)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2022/zhang2022SEGass/index.html)]
[[code](https://github.com/slimgroup/opt_spectral_gap)]
[[link](https://library.seg.org/doi/10.1190/image2022-3751690.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/ZhangLouboutinSiahkoohiEtAl_2022.bib)]
**Wave-equation based inversion with amortized variational bayesian inference**
[A. Siahkoohi]{.underline}, R. Orozco, G. Rizzuti, and F. J. Herrmann
*EAGE Workshop on Deep Learning for Seismic Processing: Investigating the Foundations*, 2022.
[[pdf](https://arxiv.org/abs/2203.15881)]
[[slides](https://www.dropbox.com/s/b7jmu793u2bcale/slides.pdf?dl=0)]
[[code](https://github.com/slimgroup/ConditionalNFs4Imaging.jl)]
[[link](https://eage.eventsair.com/eageannual2022/workshop-1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiOrozcoRizzutiEtAl_2022.bib)]
**Photoacoustic imaging with conditional priors from normalizing flows**
R. Orozco, [A. Siahkoohi]{.underline}, G. Rizzuti, T. van Leeuwen, and F. J. Herrmann
*Neural Information Processing Systems Workshop on Deep Learning and Inverse Problems*, 2021.
[[pdf](https://openreview.net/pdf?id=woi1OTvROO1)]
[[poster](https://slim.gatech.edu/Publications/Public/Conferences/NIPS/2021/orozco2021NIPSpicp/posterneurips2021_orozco.pdf)]
[[link](https://deep-inverse.org/index.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/OrozcoSiahkoohiRizzutiEtAl_2021.bib)]
**Preconditioned training of normalizing flows for variational inference in inverse problems**
[A. Siahkoohi]{.underline}, G. Rizzuti, M. Louboutin, P. Witte, and F. J. Herrmann
*3rd Symposium on Advances in Approximate Bayesian Inference*, 2021.
[[pdf](https://openreview.net/forum?id=P9m1sMaNQ8T)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/AABI/2021/siahkoohi2021AABIpto/siahkoohi2021AABIpto_pres.pdf)]
[[code](https://github.com/slimgroup/Software.siahkoohi2021AABIpto)]
[[link](http://approximateinference.org/)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiLouboutinEtAl_2021.bib)]
**Learning by example: Fast reliability-aware seismic imaging with normalizing flows**
[A. Siahkoohi]{.underline} and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1580--1585, 2021.
[[pdf](https://arxiv.org/abs/2104.06255)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2021/siahkoohi2021SEGlbe/Tue-09-15-siahkoohi.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2021/tree/main/ReliabilityAwareImaging.jl)]
[[link](https://library.seg.org/doi/10.1190/segam2021-3581836.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiHerrmann_2021.bib)]
**Enabling uncertainty quantification for seismic data preprocessing using normalizing flows (NF)---An interpolation example**
R. Kumar, M. Kotsi, [A. Siahkoohi]{.underline}, and A. Malcolm
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1515--1519, 2021.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2021/kumar2021SEGeuq/kumar2021SEGeuq.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2021/tree/main/WavefieldRecoveryUQ.jl)]
[[link](https://library.seg.org/doi/10.1190/segam2021-3583705.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/KumarKotsiSiahkoohiEtAl_2021.bib)]
**Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization**
G. Rizzuti, [A. Siahkoohi]{.underline}, P. A. Witte, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1541--1545, 2020.
[[pdf](https://arxiv.org/abs/2004.07871)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2020/rizzuti2020SEGuqavp/rizzuti2020SEGuqavp_pres.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2020/tree/master/rizzuti2020SEGuqavp)]
[[link](https://library.seg.org/doi/abs/10.1190/segam2020-3428150.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/RizzutiSiahkoohiWitteEtAl_2020.bib)]
**Transfer learning in large-scale ocean bottom seismic wavefield reconstruction**
M. Zhang, [A. Siahkoohi]{.underline}, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1666--1670, 2020.
[[pdf](https://arxiv.org/abs/2004.07388)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2020/zhang2020SEGtli/zhang2020SEGtli_pres.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2020/tree/master/zhang2020SEGtli)]
[[link](https://library.seg.org/doi/10.1190/segam2020-3427882.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/ZhangSiahkoohiHerrmann_2020.bib)]
**Weak deep priors for seismic imaging**
[A. Siahkoohi]{.underline}, G. Rizzuti, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 2998--3002, 2020.
[[pdf](https://arxiv.org/abs/2004.06835)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2020/siahkoohi2020SEGwdp/siahkoohi2020SEGwdp_pres.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2020/tree/master/siahkoohi2020SEGwdp)]
[[link](https://library.seg.org/doi/10.1190/segam2020-3417568.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiHerrmann_2020c.bib)]
**Uncertainty quantification in imaging and automatic horizon tracking---a Bayesian deep-prior based approach**
[A. Siahkoohi]{.underline}, G. Rizzuti, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 1636--1640, 2020.
[[pdf](https://arxiv.org/abs/2004.00227)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2020/siahkoohi2020SEGuqi/siahkoohi2020SEGuqi_pres.pdf)]
[[code](https://github.com/slimgroup/Software.SEG2020/tree/master/siahkoohi2020SEGuqi)]
[[link](https://library.seg.org/doi/abs/10.1190/segam2020-3417560.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiHerrmann_2020b.bib)]
**A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification**
[A. Siahkoohi]{.underline}, G. Rizzuti, and F. J. Herrmann
*European Association of Geoscientists \& Engineers Conference and Exhibition Extended Abstracts*, 2020.
[[pdf](https://arxiv.org/abs/2001.04567)]
[[slides](https://www.dropbox.com/s/yd7mywyjlfbr2sc/slides.pdf?dl=0)]
[[code](https://github.com/alisiahkoohi/seismic-imaging-with-SGLD)]
[[link](https://slim.gatech.edu/content/deep-learning-based-bayesian-approach-seismic-imaging-and-uncertainty-quantification)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiHerrmann_2020a.bib)]
**Learned imaging with constraints and uncertainty quantification**
F. J. Herrmann, [A. Siahkoohi]{.underline}, and G. Rizzuti
*Neural Information Processing Systems Deep Inverse Workshop*, 2019.
[[pdf](https://openreview.net/pdf?id=Hyet2Q29IS)]
[[slides](https://slim.gatech.edu/Publications/Public/Lectures/HotCSE/2019/herrmann2019HOTCSEliwcuq/herrmann2019HOTCSEliwcuq.pdf)]
[[poster](https://slim.gatech.edu/Publications/Public/Conferences/NIPS/2019/herrmann2019NIPSliwcuc/herrmann2019NIPSliwcuc_pres.pdf)]
[[link](https://deep-inverse.org/2019.html)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/HerrmannSiahkoohiRizzuti_2019.bib)]
**Deep-learning based ocean bottom seismic wavefield recovery**
[A. Siahkoohi]{.underline}, R. Kumar, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 2232--2237, 2019.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/siahkoohi2019SEGdlb/siahkoohi2019SEGdlb.pdf)]
[[TensorFlow code](https://github.com/alisiahkoohi/wavefield-reconstruction)]
[[PyTorch code](https://github.com/alisiahkoohi/wavefield-reconstruction-torch)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/siahkoohi2019SEGdlb/siahkoohi2019SEGdlb_pres.pdf)]
[[link](https://library.seg.org/doi/10.1190/segam2019-3216632.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiKumarHerrmann_2019.bib)]
**Surface-related multiple elimination with deep learning**
[A. Siahkoohi]{.underline}, D. J. Verschuur, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 4629--4634, 2019.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/siahkoohi2019SEGsrm/siahkoohi2019SEGsrm.pdf)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/siahkoohi2019SEGsrm/siahkoohi2019SEGsrm_pres.pdf)]
[[link](https://library.seg.org/doi/10.1190/segam2019-3216723.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiVerschuurHerrmann_2019.bib)]
**Learned iterative solvers for the Helmholtz equation**
G. Rizzuti, [A. Siahkoohi]{.underline}, and F. J. Herrmann
*European Association of Geoscientists \& Engineers Conference and Exhibition Extended Abstracts*, 2019.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2019/rizzuti2019EAGElis/rizzuti2019EAGElis.pdf)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2019/rizzuti2019EAGElis/rizzuti2019EAGElis_pres.pdf)]
[[link](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201901542)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/RizzutiSiahkoohiHerrmann_2019.bib)]
**Deep convolutional neural networks in prestack seismic---two exploratory examples**
[A. Siahkoohi]{.underline}, M. Louboutin, R. Kumar, and F. J. Herrmann
*Society of Exploration Geophysicists Technical Program Expanded Abstracts*, pages 2196--2200, 2018.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2018/siahkoohi2018SEGcnn/siahkoohi2018SEGcnn.pdf)]
[[poster](https://slim.gatech.edu/Publications/Public/Conferences/SEG/2018/siahkoohi2018SEGcnn/siahkoohi2018SEGcnn_pres.pdf)]
[[link](https://library.seg.org/doi/10.1190/segam2018-2998599.1)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiLouboutinKumarEtAl_2018.bib)]
**Seismic data reconstruction with generative adversarial networks**
[A. Siahkoohi]{.underline}, R. Kumar, and F. J. Herrmann
*European Association of Geoscientists \& Engineers Conference and Exhibition Extended Abstracts*, 2018.
[[pdf](https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2018/siahkoohi2018EAGEsdr/siahkoohi2018EAGEsdr.pdf)]
[[slides](https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2018/siahkoohi2018EAGEsdr/siahkoohi2018EAGEsdr_pres.pdf)]
[[link](https://www.earthdoc.org/content/papers/10.3997/2214-4609.201801393)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiKumarHerrmann_2018.bib)]
**Sparsity promoting least squares migration for laterally inhomogeneous media**
[A. Siahkoohi]{.underline} and A. Gholami
*7th EAGE Saint Petersburg International Conference and Exhibition*, 2016.
[[pdf](./files/84208.pdf)]
[[link](https://earthdoc.eage.org/publication/publicationdetails/?publication=84208)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiGholami_2016.bib)]
**A novel utilization of wireless sensor networks as data acquisition system in smart grids**
M. S. Ebrahimi, M. H. Daraei, J. Rezaei, and [A. Siahkoohi]{.underline}
*International Conference on Materials Science and Information Technology*, volume 433-440, pages 6725--6730, 2012.
[[link](https://www.scientific.net/AMR.433-440.6725.pdf?casa_token=tE-TNCrNU3wAAAAA:HI50WWmEsDMJwheJ4KWDZAcZwmbJz0k_9geUtnY3YuYGsN1X8HAEq8p8JmyoY9qj4YFZqFy8)]
[[link](https://www.scientific.net/AMR.433-440.6725)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/EbrahimiDaraeiRezaeiEtAl_2012.bib)]
**A content-based digital image watermarking algorithm robust against JPEG compression**
A. Najafi, [A. Siahkoohi]{.underline}, and M. B. Shamsollahi
*IEEE International Symposium on Signal Processing and Information Technology*, pages 432--437, 2011.
[[pdf](./files/6151601.pdf)]
[[link](https://ieeexplore.ieee.org/document/6151601/)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/NajafiSiahkoohiShamsollahi_2011.bib)]
---
### Thesis
**Deep generative models for solving geophysical inverse problems**
[A. Siahkoohi]{.underline}
*Ph.D. thesis*, Georgia Institute of Technology, 2022.
[[pdf](https://slim.gatech.edu/Publications/Public/Thesis/2022/siahkoohi2022THdgmf/siahkoohi2022THdgmf.pdf)]
[[slides](https://slim.gatech.edu/Publications/Public/Thesis/2022/siahkoohi2022THdgmf/siahkoohi2022THdgmf_pres.pdf)]
[[link](http://hdl.handle.net/1853/67250)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/Siahkoohi_2022.bib)]
---
### Technical reports
**Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders**
[A. Siahkoohi]{.underline}, R. Morel, R. Balestriero, E. Allys, G. Sainton, T. Kawamura, and M. V. de Hoop
Technical Report arXiv:2305.16189, Rice University, 2024.
[[pdf](https://arxiv.org/abs/2305.16189)]
[[slides](https://www.dropbox.com/s/ycwu3y3jik33xpo/slides.pdf?dl=0)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiMorelBalestrieroEtAl_2024.bib)]
**Low-memory stochastic backpropagation with multi-channel randomized trace estimation**
M. Louboutin, [A. Siahkoohi]{.underline}, R. Wang, and F. J. Herrmann
Technical Report arXiv:2106.06998, Georgia Institute of Technology, 2021.
[[pdf](https://arxiv.org/abs/2106.06998)]
[[code](https://github.com/slimgroup/XConv)]
[[link](https://slim.gatech.edu/content/low-memory-stochastic-backpropagation-multi-channel-randomized-trace-estimation)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/LouboutinSiahkoohiWangEtAl_2021.bib)]
**Faster uncertainty quantification for inverse problems with conditional normalizing flows**
[A. Siahkoohi]{.underline}, G. Rizzuti, P. A. Witte, and F. J. Herrmann
Technical Report arXiv:2007.07985, Georgia Institute of Technology, 2020.
[[pdf](https://arxiv.org/abs/2007.07985.pdf)]
[[link](https://slim.gatech.edu/content/faster-uncertainty-quantification-inverse-problems-conditional-normalizing-flows)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiRizzutiWitteEtAl_2020.bib)]
**Neural network augmented wave-equation simulation**
[A. Siahkoohi]{.underline}, M. Louboutin, and F. J. Herrmann
Technical Report arXiv:1910.00925, Georgia Institute of Technology, 2019.
[[pdf](https://arxiv.org/abs/1910.00925)]
[[code](https://github.com/alisiahkoohi/NN-augmented-wave-sim)]
[[link](https://slim.gatech.edu/content/neural-network-augmented-wave-equation-simulation)]
[[bib](https://raw.githubusercontent.com/alisiahkoohi/alisiahkoohi.github.io/master/files/SiahkoohiLouboutinHerrmann_2019b.bib)]
## Miscellaneous
"I wish you hadn't talked so much, it was distracting." --- Patrick Winston, [How to Speak](https://youtu.be/Unzc731iCUY)
"No one cares about the inside of your head." --- Larry McEnerney, [The Craft of Writing Effectively](https://youtu.be/vtIzMaLkCaM)