11 citations · 11 across the 2 of their papers we have counts for
4 papers
Disentangling Multiple Emitting Components in Molecular Observations with Non-negative Matrix Factorization
Damien de Mijolla, Jonathan Holdship, Serena Viti +1
Molecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially r…
De-noising of galaxy optical spectra with autoencoders
M. Scourfield, A. Saintonge, D. de Mijolla +1
Optical spectra contain a wealth of information about the physical properties and formation histories of galaxies. Often though, spectra are too noisy for this information to be ac…
Human-interpretable model explainability on high-dimensional data
Damien de Mijolla, Christopher Frye, Markus Kunesch +2
The importance of explainability in machine learning continues to grow, as both neural-network architectures and the data they model become increasingly complex. Unique challenges…
Shapley explainability on the data manifold
Christopher Frye, Damien de Mijolla, Tom Begley +3
Explainability in AI is crucial for model development, compliance with regulation, and providing operational nuance to predictions. The Shapley framework for explainability attribu…