Enabling Grid Technologies for Simulating the Planck LFI Simulated Mission. - Giuliano Taffoni; Davide Maino; Claudio Vuerli; Giuliano Castelli; Riccardo Smareglia; Andrea Zacchei; Torsten A. Ensslin; Fabio Pasian (CAMP, 2005)

Information field theory for cosmological perturbation reconstruction and non-linear signal analysis - Torsten A. Ensslin; Mona Frommert; Francisco S. Kitaura (CoRR, 2008)

Workflows für das frühe Universum - Die ProC-Workflowengine. - Wolfgang Hovest; Jörg Knoche; Torsten A. Enßlin (Inform. Spektrum, 2009)

Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty - Torsten A. Ensslin; Mona Frommert (CoRR, 2010)

Inference with minimal Gibbs free energy in information field theory - Torsten A. Ensslin; Cornelius Weig (CoRR, 2010)

AstroGrid-D: Grid Technology for Astronomical Science - Harry Enke; Matthias Steinmetz; Hans-Martin Adorf; Alexander Beck-Ratzka; Frank Breitling; Thomas Bruesemeister; Arthur Carlson; Torsten A. Ensslin; Mikael Högqvist; Iliya Nickelt; Thomas Radke; Alexander Reinefeld; et al. (CoRR, 2010)

Information field dynamics for simulation scheme construction - Torsten A. Enßlin (CoRR, 2012)

Art and theory of self-calibration. - Torsten A. Enßlin; Henrik Junklewitz; Lars Winderling; Marco Selig (CoRR, 2013)

D3PO - Denoising, Deconvolving, and Decomposing Photon Observations. - Marco Selig; Torsten A. Enßlin (CoRR, 2013)

Information field theory - Torsten A. Enßlin (CoRR, 2013)

NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference - Marco Selig; Michael R. Bell; Henrik Junklewitz; Niels Oppermann; Martin Reinecke; Maksim Greiner; Carlos Pachajoa; Torsten A. Enßlin (CoRR, 2013)

Signal inference with unknown response: calibration uncertainty renormalized estimator. - Sebastian Dorn; Torsten A. Enßlin; Maksim Greiner; Marco Selig; Vanessa Böhm (CoRR, 2014)

Correlated signal inference by free energy exploration. - Torsten A. Enßlin; Jakob Knollmüller (CoRR, 2016)

d2o: a distributed data object for parallel high-performance computing in Python. - Theo Steininger; Maksim Greiner; Frederik Beaujean; Torsten A. Enßlin (J. Big Data, 2016)

Optimal Belief Approximation. - Reimar H. Leike; Torsten A. Enßlin (Entropy, 2017)

Radio Imaging with Information Field Theory. - Philipp Arras; Jakob Knollmüller; Henrik Junklewitz; Torsten A. Enßlin (EUSIPCO, 2018)

Information theory for fields. - Torsten A. Enßlin (CoRR, 2018)

Encoding prior knowledge in the structure of the likelihood. - Jakob Knollmüller; Torsten A. Enßlin (CoRR, 2018)

Bayesian Causal Inference. - Maximilian Kurthen; Torsten A. Enßlin (CoRR, 2018)

Metric Gaussian Variational Inference. - Jakob Knollmüller; Torsten A. Enßlin (CoRR, 2019)

Bayesian Reasoning with Deep-Learned Knowledge. - Jakob Knollmüller; Torsten A. Enßlin (CoRR, 2020)

Probabilistic simulation of partial differential equations. - Philipp Frank; Torsten A. Enßlin (CoRR, 2020)

A Bayesian Model for Bivariate Causal Inference. - Maximilian Kurthen; Torsten A. Enßlin (Entropy, 2020)

hammurabi X: a C++ package for simulating Galactic emissions. - Jiaxin Wang; Tess Jaffe; Torsten A. Ensslin; Joe Taylor (J. Open Source Softw., 2020)

Information Field Theory as Artificial Intelligence. - Torsten A. Enßlin (CoRR, 2021)

Geometric Variational Inference. - Philipp Frank; Reimar H. Leike; Torsten A. Enßlin (Entropy, 2021)

Bayesian Reasoning with Trained Neural Networks. - Jakob Knollmüller; Torsten A. Enßlin (Entropy, 2021)

Dynamical Field Inference and Supersymmetry. - Margret Westerkamp; Igor V. Ovchinnikov; Philipp Frank; Torsten A. Enßlin (Entropy, 2021)

Probabilistic Autoencoder Using Fisher Information. - Johannes Zacherl; Philipp Frank; Torsten A. Enßlin (Entropy, 2021)

Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR). - Gordian Edenhofer; Reimar H. Leike; Philipp Frank; Torsten A. Enßlin (CoRR, 2022)

Information Field Theory and Artificial Intelligence. - Torsten A. Enßlin (Entropy, 2022)

Information and Agreement in the Reputation Game Simulation. - Viktoria Kainz; Céline Boehm; Sonja Utz; Torsten A. Enßlin (Entropy, 2022)

Attention to Entropic Communication. - Torsten A. Enßlin; Carolin Weidinger; Philipp Frank (CoRR, 2023)

Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging. - Vincent Eberle; Philipp Frank; Julia Stadler; Silvan Streit; Torsten A. Enßlin (Entropy, 2023)

Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data. - Margret Westerkamp; Jakob Roth; Philipp Frank; Will Handley; Torsten A. Enßlin (CoRR, 2024)

Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA. - Vincent Eberle; Matteo Guardiani; Margret Westerkamp; Philipp Frank; Michael J. Freyberg; Mara Salvato; Torsten A. Enßlin (CoRR, 2024)

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. - Gordian Edenhofer; Philipp Frank; Jakob Roth; Reimar H. Leike; Massin Guerdi; Lukas I. Scheel-Platz; Matteo Guardiani; Vincent Eberle; Margret Westerkamp; Torsten A. Enßlin (J. Open Source Softw., 2024)