Gemma Moran

Assistant Professor


Curriculum vitae


gm845 <at> stat.rutgers.edu


Statistics Department

Rutgers University



Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models


Conference paper


Konstantin Donhauser, Kristina Ulicna, Gemma E Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford
International Conference on Machine Learning, 2025

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APA   Click to copy
Donhauser, K., Ulicna, K., Moran, G. E., Ravuri, A., Kenyon-Dean, K., Eastwood, C., & Hartford, J. (2025). Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models. In International Conference on Machine Learning.


Chicago/Turabian   Click to copy
Donhauser, Konstantin, Kristina Ulicna, Gemma E Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, and Jason Hartford. “Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models.” In International Conference on Machine Learning, 2025.


MLA   Click to copy
Donhauser, Konstantin, et al. “Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models.” International Conference on Machine Learning, 2025.


BibTeX   Click to copy

@inproceedings{donhauser2025a,
  title = {Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models},
  year = {2025},
  author = {Donhauser, Konstantin and Ulicna, Kristina and Moran, Gemma E and Ravuri, Aditya and Kenyon-Dean, Kian and Eastwood, Cian and Hartford, Jason},
  booktitle = {International Conference on Machine Learning}
}


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