11 citations · 27 across the 10 of their papers we have counts for
3 papers · 1 filter
Learning the Shared Latent Structure of Cryo-EM Inverse Problems
Nithin Chalapathi, Theo Sternlieb, Ethan Han +4
Understanding biomolecular function requires characterizing three-dimensional structure and conformational variability, for which cryogenic electron microscopy (cryo-EM) is a power…
On the discretization of the object space in inverse problems with application to cryo-electron microscopy
Gilles Mordant, Luke Evans, David Silva-Sánchez +2
In many inverse problems, the aim is to recover a probability distribution on a latent (or object state) space from indirect, noisy observations. When the observations can be model…
MIMIC: A Generative Multimodal Foundation Model for Biomolecules
Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28
Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained with…