5 papers
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
Giovanni Palla, Sudarshan Babu, Payam Dibaeinia +5
Computational modeling of single-cell gene expression is crucial for understanding cellular processes, but generating realistic expression profiles remains a major challenge. This…
Toward Identifiable Sparse Autoencoders
Walter Nelson, Theofanis Karaletsos, Francesco Locatello
Recently, sparse autoencoders (SAEs) have emerged as an attractive tool for interpreting and interacting with representations in practical neural networks. While it is common empir…
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…
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…
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…