activity
19942026
most citedEstimating Mutual Information

4.2k citations · 9.8k across the 134 of their papers we have counts for

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Showing 2004Show all

7 papers · 1 filter

physics.data-an2004★ 6 cited

Spectral Mixture Decomposition by Least Dependent Component Analysis

Sergey A. Astakhov, Harald Stögbauer, Alexander Kraskov +1

A recently proposed mutual information based algorithm for decomposing data into least dependent components (MILCA) is applied to spectral analysis, namely to blind recovery of con…

cond-mat.soft2004★ 96 cited

Simulations of grafted polymers in a good solvent

Peter Grassberger

We present improved simulations of three-dimensional self avoiding walks with one end attached to an impenetrable surface on the simple cubic lattice. This surface can either be a-…

cond-mat.stat-mech2004★ 1 cited

Violating conformal invariance: Two-dimensional clusters grafted to wedges, cones, and branch points of Riemann surfaces

Hsiao-Ping Hsu, Walter Nadler, Peter Grassberger

We present simulations of 2-d site animals on square and triangular lattices in non-trivial geomeLattice animals are one of the few critical models in statistical mechanics violati…

cond-mat.dis-nn2004★ 3 cited

Extracting Phases from Aperiodic Signals

Alexander Kraskov, Thomas Kreuz, Ralph G. Andrzejak +3

We demonstrate by means of a simple example that the arbitrariness of defining a phase from an aperiodic signal is not just an academic problem, but is more serious and fundamental…

cond-mat.soft2004

Monte Carlo Protein Folding: Simulations of Met-Enkephalin with Solvent-Accessible Area Parameterizations

Hsiao-Ping Hsu, Bernd A. Berg, Peter Grassberger

Treating realistically the ambient water is one of the main difficulties in applying Monte Carlo methods to protein folding. The solvent-accessible area method, a popular method fo…

cond-mat.stat-mech2004★ 74 cited

Simulations of lattice animals and trees

Hsiao-Ping Hsu, Walter Nadler, Peter Grassberger

The scaling behaviour of randomly branched polymers in a good solvent is studied in two to nine dimensions, using as microscopic models lattice animals and lattice trees on simple…

physics.comp-ph2004★ 199 cited

Least Dependent Component Analysis Based on Mutual Information

Harald Stögbauer, Alexander Kraskov, Sergey A. Astakhov +1

We propose to use precise estimators of mutual information (MI) to find least dependent components in a linearly mixed signal. On the one hand this seems to lead to better blind so…