• Mendoza I, Guinot A, et al. “Differentiable Forward Modeling for Efficient and Accurate Shear Inference”. Submitted to the Dark Energy Science Collaboration (DESC) for internal review.

  • Mendoza I, Hansen D, et al. (2026) “Simulation-Based Inference for Probabilistic Galaxy Detection and Deblending.” The Open Journal of Astrophysics. https://doi.org/10.33232/001c.158908.

  • Mendoza I*, Torchylo A*, et al. (2024). “The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending”. The Open Journal of Astrophysics. https://doi.org/10.33232/001c.129699.

  • Mendoza I, Mansfield P, et al. (2023). “MultiCAM: a multivariable framework for connecting the mass accretion history of haloes with their properties”. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stad1768.

  • Wang M*, Mendoza I*, et al. (2022) “Statistical Inference for Coadded Astronomical Images”. Accepted to the Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS). https://doi.org/10.48550/arXiv.2211.09300.

  • Hansen D*, Mendoza I*, et al. (2022). “Scalable Bayesian Inference for Detection and Deblending in Astronomical Images”. Accepted to the ICML 2022 Workshop on Machine Learning for Astrophysics. https://doi.org/10.48550/arXiv.2207.05642.

  • Sanchez J, Mendoza I, et al. (2021). “Effects of overlapping sources on cosmic shear estimation: Statistical sensitivity and pixel-noise bias”. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2021/07/043.

Note: Asterisks denote equal contribution.

External list of publications

Blog Posts

These are some blog posts others have written highlighting my research!