Publications

Caleb Ogle, Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer, Naomi Gluck, Matthew Ho, Daisuke Nagai, Joseph N. Burchett, Mohammadreza Ayromlou (2026). The Deep Learning Halo Definer: A Multimodal Framework for Halo Mass and Gas Fraction Inference on Galaxy Groups and Clusters. arXiv e-prints.

Laura Sommovigo, Deaglan J. Bartlett, Rachel K. Cochrane, Matthew Ho, Christopher C. Lovell, Rachel S. Somerville (2026). Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations. The Astrophysical Journal.

Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer, Naomi Gluck, Caleb Ogle, Matthew Ho, Daisuke Nagai (2026). CNN-Based Inference of Gaseous Halo Properties from Synthetic X-ray and 21-cm HI Observations. arXiv e-prints.

Chaipat Tirapongprasert, Matthew Ho (2026). Don't Cut Corners: How Training Outside the Prior Makes Simulation-Based Inference More Robust. arXiv e-prints.

Chaipat Tirapongprasert, Matthew Ho (2026). DegenDetector: Symbolic Recovery of Parameter Degeneracies in Bayesian Posteriors. arXiv e-prints.

Bonny Y. Wang, Leander Thiele, Matthew Ho (2026). Cluster Mass Inference from Galaxy Kinematics. arXiv e-prints.

Magdalena Siwek, Matthew Ho, Earl Bellinger (2026). calypso: a Parameter-Conditioned Stochastic Surrogate Model for Circumbinary Accretion Time-Series. arXiv e-prints.

Viraj Pandya, Greg L. Bryan, T. Lucas Makinen, Austen Gabrielpillai, Christopher Carr, Drummond B. Fielding, Lars Hernquist, Matthew Ho, Kartheik Iyer, Christian Kragh Jespersen, Sophie Koudmani, Marta Laska, Pablo Lemos, Christopher C. Lovell, Lucia A. Perez, William F., Jr. Robinson, Rachel S. Somerville, Tjitske K. Starkenburg, Richard Stiskalek, Bryan Terrazas, G. Mark Voit (2026). Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation. arXiv e-prints.

Oscar Macias, Zachary Mason, Matthew Ho, Arsène Ferrière, Aurélien Benoit-Lévy, Matías Tueros (2026). Simulation-based inference for direction reconstruction of ultrahigh-energy cosmic rays with radio arrays. Physical Review D.

Thomas Harvey, Christopher C. Lovell, Sophie Newman, Christopher J. Conselice, Duncan Austin, William J. Roper, Aswin P. Vijayan, Stephen M. Wilkins, Patricia Iglesias-Navarro, Vadim Rusakov, Qiong Li, Nathan Adams, Kai Magdwick, Caio M. Goolsby, Marc Huertas-Company, Matthew Ho (2026). Flexible simulation-based inference for galaxy photometric fitting with synthesizer. Monthly Notices of the Royal Astronomical Society.

Chaipat Tirapongprasert, Matthew Ho (2026). Learning at the Edge: Tailed-Uniform Sampling for Robust Simulation-Based Inference. arXiv e-prints.

X. Zhang, Matthew Ho, Anshul Kumar, Et Al. (2026). Celia: Catalog Embeddings Learned From Cosmological Simulations. Submitted to The Open Journal of Astrophysics.

Chaipat Tirapongprasert, Matthew Ho (2026). Agentic Systems for Calibrating Cosmological Simulations. Machine Learning and the Physical Sciences 2026.

Christopher C. Lovell, Tjitske Starkenburg, Matthew Ho, Daniel Anglés-Alcázar, Romeel Davé, Austen Gabrielpillai, Kartheik G. Iyer, Alice E. Matthews, William J. Roper, Rachel S. Somerville, Laura Sommovigo, Francisco Villaescusa-Navarro (2025). Learning the Universe: cosmological and astrophysical parameter inference with galaxy luminosity functions and colours. Monthly Notices of the Royal Astronomical Society.

Shivam Pandey, Chirag Modi, Benjamin D. Wandelt, Deaglan J. Bartlett, Adrian E. Bayer, Greg L. Bryan, Matthew Ho, Guilhem Lavaux, T. Lucas Makinen, Francisco Villaescusa-Navarro (2025). Creating halos with autoregressive multistage networks. Physical Review D.

Matthew Ho, Xiaosheng Zhao, Benjamin D. Wandelt (2025). Ordered embeddings and intrinsic dimensionalities with information-ordered bottlenecks. Machine Learning: Science and Technology.

L. Sommovigo, R. K. Cochrane, R. S. Somerville, C. C. Hayward, C. C. Lovell, T. Starkenburg, G. Popping, K. Iyer, A. Gabrielpillai, Matthew Ho, U. P. Steinwandel, L. A. Perez (2025). Learning the Universe: Physically Motivated Priors for Dust Attenuation Curves. The Astrophysical Journal.

Alan Hsu, Matthew Ho, Joyce Lin, Carleen Markey, Michelle Ntampaka, Hy Trac, Barnabás Póczos (2025). Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling. The Open Journal of Astrophysics.

Amanda Lue, Shy Genel, Marc Huertas-Company, Francisco Villaescusa-Navarro, Matthew Ho (2025). Cosmology with One Galaxy: Autoencoding the Galaxy Properties Manifold. The Astrophysical Journal.

Benjamin J. Ricketts, Daniela Huppenkothen, Matteo Lucchini, Adam Ingram, Guglielmo Mastroserio, Matthew Ho, Benjamin Wandelt (2025). RTFAST-Spectra: emulation of X-ray reverberation mapping for active galactic nuclei. Monthly Notices of the Royal Astronomical Society.