3 papers
cs.CV2026
Similarity-based representation factorization for revealing interpretable dimensions in representational data
Florian P. Mahner, Ka Chun Lam, Francisco Pereira +1
The study of representations is widespread across fields, including neuroscience, psychology, and artificial intelligence. While representations are often studied and compared thro…
cs.LG2024
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier, Francisco Pereira, Katharina von der Wense +2
The evolution of biological neural systems has led to both modularity and sparse coding, which enables energy efficiency and robustness across the diversity of tasks in the lifespa…
cs.LG2023
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
Ka Chun Lam, Francisco Pereira, Bridget W Mahony +1
Psychiatry research seeks to understand the manifestations of psychopathology in behavior, as measured in questionnaire data, by identifying a small number of latent factors that e…