Publications by authors named "Torsten EnSSlin"

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Learned Insignificance of Credibility Signs.
Viktoria Kainz, Justin Sulik, Sonja Utz, Torsten Enßlin

Cogn Sci· August 2025

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Towards a Field-Based Bayesian Evidence Inference from Nested Sampling Data.
Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten Enßlin

Entropy (Basel)· October 2024

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Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging.
Vincent Eberle, Philipp Frank, Julia Stadler, Silvan Streit, Torsten Enßlin

Entropy (Basel)· April 2023

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Information and Agreement in the Reputation Game Simulation.
Viktoria Kainz, Céline Bœhm, Sonja Utz, Torsten Enßlin

Entropy (Basel)· December 2022

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Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient's age.
Matteo Guardiani, Philipp Frank, Andrija Kostić, Gordian Edenhofer, Jakob Roth

PLoS One· October 2022

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Information Field Theory and Artificial Intelligence.
Torsten Enßlin

Entropy (Basel)· March 2022

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

Entropy (Basel)· December 2021

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Dynamical Field Inference and Supersymmetry.
Margret Westerkamp, Igor Ovchinnikov, Philipp Frank, Torsten 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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A Bayesian Model for Bivariate Causal Inference.
Maximilian Kurthen, Torsten Enßlin

Entropy (Basel)· December 2019

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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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D
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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