34 citations · 82 across the 7 of their papers we have counts for
8 papers
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
Seong Ho Pahng, Guoye Guan, Benjamin Fefferman +1
Biological systems can form complex three-dimensional structures through the collective behavior of agents that share a common update rule and operate without central control. How…
Improving Graph Neural Networks by Learning Continuous Edge Directions
Seong Ho Pahng, Sahand Hormoz
Graph Neural Networks (GNNs) traditionally employ a message-passing mechanism that resembles diffusion over undirected graphs, which often leads to homogenization of node features…
An efficient solution to Hidden Markov Models on trees with coupled branches
Farzan Vafa, Sahand Hormoz
Hidden Markov Models (HMMs) are powerful tools for modeling sequential data, where the underlying states evolve in a stochastic manner and are only indirectly observable. Tradition…
Inferring Epigenetic Dynamics from Kin Correlations
Sahand Hormoz, Nicolas Desprat, Boris I. Shraiman
Populations of isogenic embryonic stem cells or clonal bacteria often exhibit extensive phenotypic heterogeneity which arises from stochastic intrinsic dynamics of cells. The inter…
Stem cell population asymmetry can reduce rate of replicative aging
Sahand Hormoz
Cycling tissues such as the intestinal epithelium, germ line, and hair follicles, require a constant flux of differentiated cells. These tissues are maintained by a population of s…
Visualization of Kelvin waves on quantum vortices
Enrico Fonda, David P. Meichle, Nicholas T. Ouellette +3
In superfluid helium, vorticity is quantized and constrained on line-like phase singularities, called quantum or quantized vortices. By visualizing the motion of sub-micron frozen…