4 citations · 4 across the 2 of their papers we have counts for
3 papers
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable
Julian Giraldo-Barreto, Sebastian Ortiz, Erik H. Thiede +4
Cryo-electron microscopy (cryo-EM) extracts single-particle density projections of individual biomolecules. Although cryo-EM is widely used for 3D reconstruction, due to its single…
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik Henning Thiede, Truong Son Hy, Risi Kondor
Previous work on symmetric group equivariant neural networks generally only considered the case where the group acts by permuting the elements of a single vector. In this paper we…
Galerkin Approximation of Dynamical Quantities using Trajectory Data
Erik H. Thiede, Dimitrios Giannakis, Aaron R. Dinner +1
Understanding chemical mechanisms requires estimating dynamical statistics such as expected hitting times, reaction rates, and committors. Here, we present a general framework for…