Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning. - Gabe Guo; Judah Goldfeder; Ling Lan; Aniv Ray; Albert Hanming Yang; Boyuan Chen 001; Simon J. L. Billinge; Hod Lipson (CoRR, 2023)

Diffusion Models Are Promising for Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data. - Gabe Guo; Tristan Saidi; Maxwell Terban; Simon J. L. Billinge; Hod Lipson (CoRR, 2024)

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks. - Judah Goldfeder; Quinten Roets; Gabe Guo; John Wright; Hod Lipson (CoRR, 2024)

Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding. - Gabe Guo; Stefano Ermon (CoRR, 2025)