Torsten A. Enßlin

36 papers Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA. CoRR Vincent Eberle, Matteo Guardiani, Margret Westerkamp, Philipp Frank, Michael J. Freyberg, Mara Salvato, Torsten A. Enßlin
2024	J	`jnl`	Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. CoRR Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. Enßlin
2024	J	`jnl`	Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference. J. Open Source Softw. Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. Enßlin
2024	J	`jnl`	Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data. CoRR Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin
2024	J	`jnl`	Towards a Field-Based Bayesian Evidence Inference from Nested Sampling Data. Entropy Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin
2023	J	`jnl`	Attention to Entropic Communication. CoRR Torsten A. Enßlin, Carolin Weidinger, Philipp Frank
2023	J	`jnl`	Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging. Entropy Vincent Eberle, Philipp Frank, Julia Stadler, Silvan Streit, Torsten A. Enßlin
2022	J	`jnl`	Information Field Theory and Artificial Intelligence. Entropy Torsten A. Enßlin
2022	J	`jnl`	Information and Agreement in the Reputation Game Simulation. Entropy Viktoria Kainz, Céline Boehm, Sonja Utz, Torsten A. Enßlin
2022	J	`jnl`	Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR). CoRR Gordian Edenhofer, Reimar H. Leike, Philipp Frank, Torsten A. Enßlin
2021	J	`jnl`	Bayesian Reasoning with Trained Neural Networks. Entropy Jakob Knollmüller, Torsten A. Enßlin
2021	J	`jnl`	Dynamical Field Inference and Supersymmetry. Entropy Margret Westerkamp, Igor V. Ovchinnikov, Philipp Frank, Torsten A. Enßlin
2021	J	`jnl`	Geometric Variational Inference. Entropy Philipp Frank, Reimar H. Leike, Torsten A. Enßlin
2021	J	`jnl`	Information Field Theory as Artificial Intelligence. CoRR Torsten A. Enßlin
2021	J	`jnl`	Probabilistic Autoencoder Using Fisher Information. Entropy Johannes Zacherl, Philipp Frank, Torsten A. Enßlin
2021	J	`jnl`	Probabilistic Autoencoder using Fisher Information. CoRR Johannes Zacherl, Philipp Frank, Torsten A. Enßlin
2020	J	`jnl`	A Bayesian Model for Bivariate Causal Inference. Entropy Maximilian Kurthen, Torsten A. Enßlin
2020	J	`jnl`	Bayesian Reasoning with Deep-Learned Knowledge. CoRR Jakob Knollmüller, Torsten A. Enßlin
2020	J	`jnl`	Probabilistic simulation of partial differential equations. CoRR Philipp Frank, Torsten A. Enßlin
2019	J	`jnl`	Metric Gaussian Variational Inference. CoRR Jakob Knollmüller, Torsten A. Enßlin
2018	J	`jnl`	Bayesian Causal Inference. CoRR Maximilian Kurthen, Torsten A. Enßlin
2018	J	`jnl`	Encoding prior knowledge in the structure of the likelihood. CoRR Jakob Knollmüller, Torsten A. Enßlin
2018	J	`jnl`	Information theory for fields. CoRR Torsten A. Enßlin
2018	—	`conf`	Radio Imaging with Information Field Theory. EUSIPCO Philipp Arras, Jakob Knollmüller, Henrik Junklewitz, Torsten A. Enßlin
2017	J	`jnl`	Optimal Belief Approximation. Entropy Reimar H. Leike, Torsten A. Enßlin
2016	J	`jnl`	Correlated signal inference by free energy exploration. CoRR Torsten A. Enßlin, Jakob Knollmüller
2016	J	`jnl`	D2O - a distributed data object for parallel high-performance computing in Python. CoRR Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin
2016	J	`jnl`	Optimal Belief Approximation. CoRR Reimar H. Leike, Torsten A. Enßlin
2016	J	`jnl`	d2o: a distributed data object for parallel high-performance computing in Python. J. Big Data Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin
2014	J	`jnl`	Signal inference with unknown response: calibration uncertainty renormalized estimator. CoRR Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm
2013	J	`jnl`	Art and theory of self-calibration. CoRR Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Marco Selig
2013	J	`jnl`	D3PO - Denoising, Deconvolving, and Decomposing Photon Observations. CoRR Marco Selig, Torsten A. Enßlin
2013	J	`jnl`	Information field theory CoRR Torsten A. Enßlin
2013	J	`jnl`	NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference CoRR Marco Selig, Michael R. Bell, Henrik Junklewitz, Niels Oppermann, Martin Reinecke, Maksim Greiner, Carlos Pachajoa, Torsten A. Enßlin
2012	J	`jnl`	Information field dynamics for simulation scheme construction CoRR Torsten A. Enßlin
2009	J	`jnl`	Workflows für das frühe Universum - Die ProC-Workflowengine. Inform. Spektrum Wolfgang Hovest, Jörg Knoche, Torsten A. Enßlin