Google Scholar: Prerna Luthra

Here I list some of the projects, publications & frameworks:

  • One — What constitutes Trustworthy AI? Accepted to ICML 2026 Workshop on PhilML Paper, Poster
  • Two — Is internal representational separation and human-readable semantic reconstruction same thing in interpretability? Accepted to ICML 2026 WiML Symposium Paper, Poster
  • Three — Are monolithic models ideal for Perceptual AI? Accepted to ICLR 2026 Workshop - From Human Cognition to AI Reasoning Paper
  • Four — Is a single metric ideal for evaluation of computational creativity systems? Can you model interpretive perspectives? Accepted to ICCC 2026 International Conference on Computational Creativity Paper, Presentation
  • Five — What if humans and AI could have a shared language for creativity? Here’s a 4-world framework as an early step. Paper
  • Six — Ever wondered, how do you organize all the data in the world? Welcome to Multi-layer Earth Intelligence Framework. Abstract
  • Seven — Can AI help detect long COVID in patients from lung MRI scans? Project
  • Eight — Can you use neural networks to model attention in the human auditory system? Pursued as a part of Grace Lindsay’s Lab @ NYU Project