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Alina Zare

2 accepted papers

2025

Learning Diagrams: A Graphical Language for Compositional Training Regimes

ICLR 2025poster

Motivated by deep learning regimes with multiple interacting yet distinct model components, we introduce learning diagrams, graphical depictions of training setups that capture parameterized learning as data rather than code. A learning diagram compiles to a unique loss function on which component m…

Cited by 0SourcePDFScholar
2017

Hyperspectral unmixing with endmember variability using Partial Membership Latent Dirichlet Allocation

ICASSP 2017accepted

The application of Partial Membership Latent Dirichlet Allocation (PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and incorporates spatial information through the use…

Cited by 0SourceScholar