21 citations · 73 across the 25 of their papers we have counts for
5 papers · 1 filter
IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems
Juan Munoz, Subash Balsamy, Juan P. Bernal-Tamayo +6
Discovering non-linear dynamical models from data is at the core of science. Recent progress hinges upon sparse regression of observables using extensive libraries of candidate fun…
Learning Heat Diffusion for Network Alignment
Sisi Qu, Mengmeng Xu, Bernard Ghanem +1
Networks are abundant in the life sciences. Outstanding challenges include how to characterize similarities between networks, and in extension how to integrate information across n…
Characterization and reduction of variability in selection based on effect-size using association measures in cohort study of heterogeneous diseases
Venkateshan Kannan, Kristina Alexandersson, Jesper Tegner
Cohort studies employ pairwise measures of association to quantify dependencies among conditions and exposures. To reliably use these measures to draw conclusions about the underly…
Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results
Hector Zenil, James A. R. Marshall, Jesper Tegnér
Being able to objectively characterise the intrinsic complexity of behavioural patterns resulting from human or animal decisions is fundamental for deconvolving cognition and desig…
On the Theory and Algorithm for rigorous discretization in applications of Information Theory
Venkateshan Kannan, Jesper Tegnèr
We identify fundamental issues with discretization when estimating information-theoretic quantities in the analysis of data. These difficulties are theoretical in nature and arise…