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ORCIDTorsten A. Enßlin
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- affiliation: Max-Planck-Institut für Astrophysik, Garching, Germany
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2020 – today
- 2024
[j13]Gordian Edenhofer
, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. Enßlin:
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. J. Open Source Softw. 9(98): 6593 (2024)- [i26]Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. Enßlin:
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. CoRR abs/2402.16683 (2024) - [i25]Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin:
Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data. CoRR abs/2408.09889 (2024) - [i24]Vincent Eberle, Matteo Guardiani, Margret Westerkamp, Philipp Frank, Michael J. Freyberg, Mara Salvato, Torsten A. Enßlin:
Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA. CoRR abs/2410.14599 (2024) - 2023
- [j12]Vincent Eberle, Philipp Frank, Julia Stadler, Silvan Streit, Torsten A. Enßlin:
Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging. Entropy 25(4): 652 (2023) - [i23]Torsten A. Enßlin, Carolin Weidinger, Philipp Frank:
Attention to Entropic Communication. CoRR abs/2307.11423 (2023) - 2022
- [j11]Torsten A. Enßlin:
Information Field Theory and Artificial Intelligence. Entropy 24(3): 374 (2022) - [j10]Viktoria Kainz, Céline Boehm, Sonja Utz, Torsten A. Enßlin:
Information and Agreement in the Reputation Game Simulation. Entropy 24(12): 1768 (2022) - [i22]Gordian Edenhofer, Reimar H. Leike, Philipp Frank, Torsten A. Enßlin:
Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR). CoRR abs/2206.10634 (2022) - 2021
- [j9]Jakob Knollmüller, Torsten A. Enßlin:
Bayesian Reasoning with Trained Neural Networks. Entropy 23(6): 693 (2021) - [j8]Philipp Frank, Reimar H. Leike, Torsten A. Enßlin:
Geometric Variational Inference. Entropy 23(7): 853 (2021) - [j7]Johannes Zacherl, Philipp Frank, Torsten A. Enßlin:
Probabilistic Autoencoder Using Fisher Information. Entropy 23(12): 1640 (2021) - [j6]Margret Westerkamp, Igor V. Ovchinnikov, Philipp Frank, Torsten A. Enßlin:
Dynamical Field Inference and Supersymmetry. Entropy 23(12): 1652 (2021) - [i21]Johannes Zacherl, Philipp Frank, Torsten A. Enßlin:
Probabilistic Autoencoder using Fisher Information. CoRR abs/2110.14947 (2021) - [i20]Torsten A. Enßlin:
Information Field Theory as Artificial Intelligence. CoRR abs/2112.10133 (2021) - 2020
- [j5]Maximilian Kurthen, Torsten A. Enßlin:
A Bayesian Model for Bivariate Causal Inference. Entropy 22(1): 46 (2020) - [j4]Jiaxin Wang, Tess Jaffe, Torsten A. Ensslin, Joe Taylor:
hammurabi X: a C++ package for simulating Galactic emissions. J. Open Source Softw. 5(47): 1889 (2020) - [i19]Jakob Knollmüller, Torsten A. Enßlin:
Bayesian Reasoning with Deep-Learned Knowledge. CoRR abs/2001.11031 (2020) - [i18]Philipp Frank, Torsten A. Enßlin:
Probabilistic simulation of partial differential equations. CoRR abs/2010.06583 (2020)
2010 – 2019
- 2019
- [i17]Jakob Knollmüller, Torsten A. Enßlin:
Metric Gaussian Variational Inference. CoRR abs/1901.11033 (2019) - 2018
- [c2]Philipp Arras, Jakob Knollmüller, Henrik Junklewitz, Torsten A. Enßlin:
Radio Imaging with Information Field Theory. EUSIPCO 2018: 2683-2687 - [i16]Torsten A. Enßlin:
Information theory for fields. CoRR abs/1804.03350 (2018) - [i15]Jakob Knollmüller, Torsten A. Enßlin:
Encoding prior knowledge in the structure of the likelihood. CoRR abs/1812.04403 (2018) - [i14]Maximilian Kurthen, Torsten A. Enßlin:
Bayesian Causal Inference. CoRR abs/1812.09895 (2018) - 2017
- [j3]Reimar H. Leike, Torsten A. Enßlin:
Optimal Belief Approximation. Entropy 19(8): 402 (2017) - 2016
- [j2]Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin:
d2o: a distributed data object for parallel high-performance computing in Python. J. Big Data 3: 17 (2016) - [i13]Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin:
D2O - a distributed data object for parallel high-performance computing in Python. CoRR abs/1606.05385 (2016) - [i12]Reimar H. Leike, Torsten A. Enßlin:
Optimal Belief Approximation. CoRR abs/1610.09018 (2016) - [i11]Torsten A. Enßlin, Jakob Knollmüller:
Correlated signal inference by free energy exploration. CoRR abs/1612.08406 (2016) - 2014
- [i10]Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm:
Signal inference with unknown response: calibration uncertainty renormalized estimator. CoRR abs/1410.6289 (2014) - 2013
- [i9]Torsten A. Enßlin:
Information field theory. CoRR abs/1301.2556 (2013) - [i8]Marco Selig, Michael R. Bell, Henrik Junklewitz, Niels Oppermann, Martin Reinecke, Maksim Greiner, Carlos Pachajoa, Torsten A. Enßlin:
NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference. CoRR abs/1301.4499 (2013) - [i7]Marco Selig, Torsten A. Enßlin:
D3PO - Denoising, Deconvolving, and Decomposing Photon Observations. CoRR abs/1311.1888 (2013) - [i6]Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Marco Selig:
Art and theory of self-calibration. CoRR abs/1312.1349 (2013) - 2012
- [i5]Torsten A. Enßlin:
Information field dynamics for simulation scheme construction. CoRR abs/1206.4229 (2012) - 2010
- [i4]Torsten A. Ensslin, Mona Frommert:
Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty. CoRR abs/1002.2928 (2010) - [i3]Torsten A. Ensslin, Cornelius Weig:
Inference with minimal Gibbs free energy in information field theory. CoRR abs/1004.2868 (2010) - [i2]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, Angelika Reiser, Tobias Scholl, Rainer Spurzem, Juergen Steinacker, Wolfgang Voges, Joachim Wambsganss, Steve White:
AstroGrid-D: Grid Technology for Astronomical Science. CoRR abs/1007.4053 (2010)
2000 – 2009
- 2009
- [j1]Wolfgang Hovest, Jörg Knoche, Torsten A. Enßlin:
Workflows für das frühe Universum - Die ProC-Workflowengine. Inform. Spektrum 32(6): 487-495 (2009) - 2008
- [i1]Torsten A. Ensslin, Mona Frommert, Francisco S. Kitaura:
Information field theory for cosmological perturbation reconstruction and non-linear signal analysis. CoRR abs/0806.3474 (2008) - 2005
- [c1]Giuliano Taffoni, Davide Maino, Claudio Vuerli, Giuliano Castelli, Riccardo Smareglia, Andrea Zacchei, Torsten A. Ensslin, Fabio Pasian:
Enabling Grid Technologies for Simulating the Planck LFI Simulated Mission. CAMP 2005: 159-164
Coauthor Index
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