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1 change: 1 addition & 0 deletions docs/api/index.rst
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Expand Up @@ -7,6 +7,7 @@ The main modules are:
- :doc:`cuqi.distribution <_autosummary/cuqi.distribution>` for defining probability distributions.
- :doc:`cuqi.model <_autosummary/cuqi.model>` for defining deterministic models.
- :doc:`cuqi.sampler <_autosummary/cuqi.sampler>` for sampling from probability distributions.
- :doc:`cuqi.inference <_autosummary/cuqi.implicitprior>` for defining implicit priors.

The following modules provide higher-level interfaces:
- :doc:`cuqi.testproblem <_autosummary/cuqi.testproblem>` for defining specific test problems.
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4 changes: 3 additions & 1 deletion docs/user/papers.rst
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Expand Up @@ -17,4 +17,6 @@ Here we also keep a collection of papers that use CUQIpy. If your paper should b
- Alghamdi A, Mathiesen BK, Miyakoshi L, Nedergaard M, Jørgensen JS, Bork PA. Cochlear Aqueduct Advection and Diffusion Inferred from Computed Tomography Imaging with a Bayesian Approach. Journal of the Association for Research in Otolaryngology. 2026 Apr 13:1-3. `DOI <10.1007/s10162-026-01047-x>`_
- Zhang C, Everink JM, Jørgensen JS. Efficient monotonic Gaussian processes via Randomize-then-Optimize. Journal of Computational Physics. 2026 Feb 19:114787. `DOI <https://doi.org/10.1016/j.jcp.2026.114787>`_; `arXiv <https://arxiv.org/abs/2507.06677>`_
- Seelinger L, Reinarz A, Lykkegaard MB, Akers R, Alghamdi AM, Aristoff D, Bangerth W, Bénézech J, Diez M, Frey K, Jakeman JD. Democratizing uncertainty quantification. Journal of Computational Physics. 2025 Jan 15;521:113542. `DOI <https://doi.org/10.1016/j.jcp.2024.113542>`_; `arXiv <https://arxiv.org/abs/2402.13768>`_
- Christensen SL, Riis NA, Pereyra M, Jørgensen JS. A Bayesian approach for CT reconstruction with defect detection for subsea pipelines. Inverse Problems. 2024 Feb 1;40(2):025003. `DOI <https://doi.org/10.1088/1361-6420/ad1348>`_
- Christensen SL, Riis NA, Pereyra M, Jørgensen JS. A Bayesian approach for CT reconstruction with defect detection for subsea pipelines. Inverse Problems. 2024 Feb 1;40(2):025003. `DOI <https://doi.org/10.1088/1361-6420/ad1348>`_
- Parzer F, Kirisits C, Scherzer O. Uncertainty quantification for scale-space blob detection. Journal of Mathematical Imaging and Vision. 2024 Aug;66(4):697-717. `DOI <https://doi.org/10.1007/s10851-024-01194-x>`_
- Andrianov N, Mohammadkhani S, Rostami B. Uncertainty Quantification of CO2-Brine Saturation Functions from Experimental Data. In Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 2024 Oct 25 (pp. 20-24). `DOI <https://dx.doi.org/10.2139/ssrn.5071504>`_
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