Searching the Landscape of Flux Vacua with Genetic Algorithms. - Alex Cole; Andreas Schachner; Gary Shiu (CoRR, 2019)

Interpretable Phase Detection and Classification with Persistent Homology. - Alex Cole; Gregory J. Loges; Gary Shiu (CoRR, 2020)

Topological Echoes of Primordial Physics in the Universe at Large Scales. - Alex Cole; Matteo Biagetti; Gary Shiu (CoRR, 2020)

Reviews: Topological Distances and Losses for Brain Networks. - Moo K. Chung; Alexander Smith 005; Gary Shiu (CoRR, 2021)

Breeding realistic D-brane models. - Gregory J. Loges; Gary Shiu (CoRR, 2021)

Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure. - Jacky H. T. Yip; Adam Rouhiainen; Gary Shiu (CoRR, 2023)

Cosmology with Persistent Homology: Parameter Inference via Machine Learning. - Juan X. E. A. Calles; Jacky H. T. Yip; Gabriella Contardo; Jorge Noreña; Adam Rouhiainen; Gary Shiu (CoRR, 2024)

Transforming Calabi-Yau Constructions: Generating New Calabi-Yau Manifolds with Transformers. - Jacky H. T. Yip; Charles Arnal; François Charton; Gary Shiu (CoRR, 2025)