activity
20092026
most citedData-driven model reduction and transfer operator approximation

267 citations · 1.2k across the 51 of their papers we have counts for

collaborators

55 papers

q-bio.BM2026

LiveCoMS Roundtable: Discussing Markov state models after two decades of development v1.0

Daniel M. Zuckerman, Gregory R. Bowman, Amedeo Caflisch +14

Markov state models (MSMs) play a central role in the analysis of molecular dynamics (MD) simulations for biomolecules, and MSM methodologies have been under continual development…

math.PR2026

Importance sampling of unbounded random stopping times: computing committor functions and exit rates without reweighting

Carsten Hartmann, Annika Jöster, Christof Schütte +2

Rare events in molecular dynamics are often related to noise-induced transitions between different macroscopic states (e.g., in protein folding). A common feature of these rare tra…

cs.LG2025

Assessing local deformation and computing scalar curvature with nonlinear conformal regularization of decoders

Benjamin Couéraud, Vikram Sunkara, Christof Schütte

One aim of dimensionality reduction is to discover the main factors that explain the data, and as such is paramount to many applications. When working with high dimensional data, a…

cs.LG2025★ 9 cited

Riemannian Denoising Diffusion Probabilistic Models

Zichen Liu, Wei Zhang, Christof Schütte +1

We propose Riemannian Denoising Diffusion Probabilistic Models (RDDPMs) for learning distributions on submanifolds of Euclidean space that are level sets of functions, including mo…

q-bio.QM2024

Approximating particle-based clustering dynamics by stochastic PDEs

Nathalie Wehlitz, Mohsen Sadeghi, Alberto Montefusco +3

This work proposes stochastic partial differential equations (SPDEs) as a practical tool to replicate clustering effects of more detailed particle-based dynamics. Inspired by membr…

math.OC2024

On finding optimal collective variables for complex systems by minimizing the deviation between effective and full dynamics

Wei Zhang, Christof Schütte

This paper is concerned with collective variables, or reaction coordinates, that map a discrete-in-time Markov process in to a (much) smaller dimension $k \ll…