1 citations · 1 across the 4 of their papers we have counts for
4 papers
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
K. Michael Martini, Eslam Abdelaleem, Paarth Gulati +1
Identifying the dynamical state variables of a system from high-dimensional observations is a central problem across physical sciences. The challenge is that the state variables ar…
Mutual information and task-relevant latent dimensionality
Paarth Gulati, Eslam Abdelaleem, Audrey Sederberg +1
Estimating the dimensionality of the latent representation needed for prediction -- the task-relevant dimension -- is a difficult, largely unsolved problem with broad scientific ap…
You ain't seen nothing, and yet: Future biochemical concentrations can be predicted with surprisingly high accuracy
Ketevan Danelia, Sean A. Ridout, Ilya Nemenman
Accurate sensing of chemical concentrations is essential for numerous biological processes. The accuracy of this sensing, for small numbers of molecules, is limited by shot noise.…
Accurate Estimation of Mutual Information in High Dimensional Data
Eslam Abdelaleem, K. Michael Martini, Ilya Nemenman
Mutual information (MI) quantifies statistical dependence between variables and is widely used across scientific disciplines, yet accurate estimation from finite data remains notor…