activity
20232026
most citedTowards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks

Judah Goldfeder, Quinten Roets, Gabe Guo +2

Inferring the exact parameters of a neural network with only query access is an NP-Hard problem, with few practical existing algorithms. Solutions would have major implications for…

physics.comp-ph2024★ 1 cited

Ab Initio Structure Solutions from Nanocrystalline Powder Diffraction Data

Gabe Guo, Tristan Saidi, Maxwell Terban +3

A major challenge in materials science is the determination of the structure of nanometer sized objects. Here we present a novel approach that uses a generative machine learning mo…