Torsten A. Enßlin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Learned Knowledge

Gaussian Process

Variational Inference

Trained Neural Networks

Top Venues

Publications

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 (2024)
Torsten A. Enßlin, Carolin Weidinger, Philipp Frank
Attention to Entropic Communication. CoRR (2023)
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) (2023)
Gordian Edenhofer, Reimar H. Leike, Philipp Frank, Torsten A. Enßlin
Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR). CoRR (2022)
Torsten A. Enßlin
Information Field Theory and Artificial Intelligence. Entropy 24 (3) (2022)
Viktoria Kainz, Céline Boehm, Sonja Utz, Torsten A. Enßlin
Information and Agreement in the Reputation Game Simulation. Entropy 24 (12) (2022)
Johannes Zacherl, Philipp Frank, Torsten A. Enßlin
Probabilistic Autoencoder using Fisher Information. CoRR (2021)
Johannes Zacherl, Philipp Frank, Torsten A. Enßlin
Probabilistic Autoencoder Using Fisher Information. Entropy 23 (12) (2021)
Margret Westerkamp, Igor V. Ovchinnikov, Philipp Frank, Torsten A. Enßlin
Dynamical Field Inference and Supersymmetry. Entropy 23 (12) (2021)
Torsten A. Enßlin
Information Field Theory as Artificial Intelligence. CoRR (2021)
Philipp Frank, Reimar H. Leike, Torsten A. Enßlin
Geometric Variational Inference. Entropy 23 (7) (2021)
Jakob Knollmüller, Torsten A. Enßlin
Bayesian Reasoning with Trained Neural Networks. Entropy 23 (6) (2021)
Jakob Knollmüller, Torsten A. Enßlin
Bayesian Reasoning with Deep-Learned Knowledge. CoRR (2020)
Philipp Frank, Torsten A. Enßlin
Probabilistic simulation of partial differential equations. CoRR (2020)
Maximilian Kurthen, Torsten A. Enßlin
A Bayesian Model for Bivariate Causal Inference. Entropy 22 (1) (2020)
Jakob Knollmüller, Torsten A. Enßlin
Metric Gaussian Variational Inference. CoRR (2019)
Philipp Arras, Jakob Knollmüller, Henrik Junklewitz, Torsten A. Enßlin
Radio Imaging with Information Field Theory. EUSIPCO (2018)
Maximilian Kurthen, Torsten A. Enßlin
Bayesian Causal Inference. CoRR (2018)
Torsten A. Enßlin
Information theory for fields. CoRR (2018)
Jakob Knollmüller, Torsten A. Enßlin
Encoding prior knowledge in the structure of the likelihood. CoRR (2018)
Reimar H. Leike, Torsten A. Enßlin
Optimal Belief Approximation. Entropy 19 (8) (2017)
Reimar H. Leike, Torsten A. Enßlin
Optimal Belief Approximation. CoRR (2016)
Torsten A. Enßlin, Jakob Knollmüller
Correlated signal inference by free energy exploration. CoRR (2016)
Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin
D2O - a distributed data object for parallel high-performance computing in Python. CoRR (2016)
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 (2016)
Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm
Signal inference with unknown response: calibration uncertainty renormalized estimator. CoRR (2014)
Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Marco Selig
Art and theory of self-calibration. CoRR (2013)
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 (2013)
Marco Selig, Torsten A. Enßlin
D3PO - Denoising, Deconvolving, and Decomposing Photon Observations. CoRR (2013)
Torsten A. Enßlin
Information field theory CoRR (2013)
Torsten A. Enßlin
Information field dynamics for simulation scheme construction CoRR (2012)
Wolfgang Hovest, Jörg Knoche, Torsten A. Enßlin
Workflows für das frühe Universum - Die ProC-Workflowengine. Inform. Spektrum 32 (6) (2009)