3 papers
cs.LG2026
Statistical and structural identifiability in representation learning
Walter Nelson, Marco Fumero, Theofanis Karaletsos +1
Representation learning models exhibit a surprising stability in their internal representations. Whereas most prior work treats this stability as a single property, we formalize it…
cs.CL2025
How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation Dataset
Sunil Mohan, Theofanis Karaletsos
Two scientific fields showing increasing interest in pre-trained large language models (LLMs) are drug development / repurposing, and personalized medicine. For both, LLMs have to…
q-bio.OT2025
A Roadmap for Predictive Human Immunology
Aly A. Khan, Jason Perera, James Zou +13
For over a century, immunology has masterfully discovered and dissected the components of our immune system, yet its collective behavior remains fundamentally unpredictable. In thi…