Publications by authors named "Torsten A EnSSlin"

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Probabilistic Autoencoder Using Fisher Information.
Johannes Zacherl, Philipp Frank, Torsten A Enßlin

Entropy (Basel)· December 2021

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Geometric Variational Inference.
Philipp Frank, Reimar Leike, Torsten A Enßlin

Entropy (Basel)· July 2021

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Bayesian Reasoning with Trained Neural Networks.
Jakob Knollmüller, Torsten A Enßlin

Entropy (Basel)· May 2021

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Towards information-optimal simulation of partial differential equations.
Reimar H Leike, Torsten A Enßlin

Phys Rev E· March 2018

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Field dynamics inference via spectral density estimation.
Philipp Frank, Theo Steininger, Torsten A Enßlin

Phys Rev E· November 2017

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Gentle reenergization of electrons in merging galaxy clusters.
Francesco de Gasperin, Huib T Intema, Timothy W Shimwell, Gianfranco Brunetti, Marcus Brüggen

Sci Adv· October 2017

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Noisy independent component analysis of autocorrelated components.
Jakob Knollmüller, Torsten A Enßlin

Phys Rev E· October 2017

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Operator calculus for information field theory.
Reimar H Leike, Torsten A Enßlin

Phys Rev E· November 2016

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Dynamic system classifier.
Daniel Pumpe, Maksim Greiner, Ewald Müller, Torsten A Enßlin

Phys Rev E· July 2016

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Stochastic determination of matrix determinants.
Sebastian Dorn, Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· July 2015

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Signal inference with unknown response: calibration-uncertainty renormalized estimator.
Sebastian Dorn, Torsten A Enßlin, Maksim Greiner, Marco Selig, Vanessa Boehm

Phys Rev E Stat Nonlin Soft Matter Phys· January 2015

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Improving self-calibration.
Torsten A Enßlin, Henrik Junklewitz, Lars Winderling, Maksim Greiner, Marco Selig

Phys Rev E Stat Nonlin Soft Matter Phys· October 2014

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Diagnostics for insufficiencies of posterior calculations in Bayesian signal inference.
Sebastian Dorn, Niels Oppermann, Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· November 2013

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Simulation of stochastic network dynamics via entropic matching.
Tiago Ramalho, Marco Selig, Ulrich Gerland, Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· February 2013

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Information field dynamics for simulation scheme construction.
Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· January 2013

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Improving stochastic estimates with inference methods: calculating matrix diagonals.
Marco Selig, Niels Oppermann, Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· February 2012

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Reconstructing signals from noisy data with unknown signal and noise covariance.
Niels Oppermann, Georg Robbers, Torsten A Ensslin

Phys Rev E Stat Nonlin Soft Matter Phys· October 2011

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Inference with minimal Gibbs free energy in information field theory.
Torsten A Ensslin, Cornelius Weig

Phys Rev E Stat Nonlin Soft Matter Phys· November 2010

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Astronomy. Radio traces of cosmic shock waves.
Torsten A Ensslin

Science· November 2006

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