1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Measurement-limited learning of conformational heterogeneity in cryo-electron microscopy
Henry H. Mattingly, Luke Evans, Pilar Cossio
Cryogenic electron microscopy images sample individual biomolecules from their conformational landscapes, offering a route to infer the distributions underlying molecular mechanism…
Error Breakdown and Sensitivity Analysis of Dynamical Quantities in Markov State Models
Yehor Tuchkov, Luke Evans, Sonya M. Hanson +1
Markov state models (MSMs) are widely employed to analyze the kinetics of complex systems. But despite their effectiveness in many applications, MSMs are prone to systematic or sta…
Cryo-em images are intrinsically low dimensional
Luke Evans, Octavian-Vlad Murad, Lars Dingeldein +3
Simulation-based inference provides a powerful framework for cryo-electron microscopy, employing neural networks in methods like CryoSBI to infer biomolecular conformations via lea…
Sharp error estimates for target measure diffusion maps with applications to the committor problem
Shashank Sule, Luke Evans, Maria Cameron
We obtain asymptotically sharp error estimates for the consistency error of the Target Measure Diffusion map (TMDmap) (Banisch et al. 2020), a variant of diffusion maps featuring i…