![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach:
Dokumententyp
| Veröffentlichungsdatum
Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 12
Zeitschriftenartikel
Ensslin, Torsten; Kainz, Viktoria und Boehm, Celine
(2022):
A Reputation Game Simulation: Emergent Social Phenomena from Information Theory.
In: Annalen der Physik, Bd. 534, Nr. 5, 2100277
Orlando, Elena; Bottacini, Eugenio; Moiseev, A. A.; Bodaghee, Arash; Collmar, Werner; Ensslin, Torsten; Moskalenko, Igor V.; Negro, Michela; Profumo, Stefano; Digel, Seth W.; Thompson, David J.; Baring, Matthew G.; Bolotnikov, Aleksey; Cannady, Nicholas; Carini, Gabriella A.; Eberle, Vincent; Grenier, Isabelle A.; Harding, Alice K.; Hartmann, Dieter; Herrmann, Sven; Kerr, Matthew; Krivonos, Roman; Laurent, Philippe; Longo, Francesco; Morselli, Aldo; Philips, Bernard; Sasaki, Makoto; Shawhan, Peter; Shy, Daniel; Skinner, Gerry; Smith, Lucas D.; Stecker, Floyd W.; Strong, Andrew; Sturner, Steven; Tomsick, John A.; Wadiasingh, Zorawar; Woolf, Richard S.; Yates, Eric; Ziock, Klaus-Peter und Zoglauer, Andreas
(2022):
Exploring the MeV sky with a combined coded mask and Compton telescope: the Galactic Explorer with a Coded aperture mask Compton telescope (GECCO).
In: Journal of Cosmology and Astroparticle Physics, Nr. 7, 36
Guardiani, Matteo; Frank, Philipp; Kostic, Andrija; Edenhofer, Gordian; Roth, Jakob; Uhlmann, Berit und Ensslin, Torsten
(2022):
Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient's age.
In: PLOS One 17(10), e0275011
In: PLOS One 17(10), e0275011
Ensslin, Torsten
(2022):
Information Field Theory and Artificial Intelligence.
In: Entropy, Bd. 24, Nr. 3, 374
Kainz, Viktoria; Böhm, Celine; Utz, Sonja und Ensslin, Torsten
(2022):
Information and Agreement in the Reputation Game Simulation.
In: Entropy, Bd. 24, Nr. 12, 1768
Bialy, Shmuel; Zucker, Catherine; Goodman, Alyssa; Foley, Michael M.; Alves, Joao; Semenov, Vadim A.; Benjamin, Robert; Leike, Reimar und Ensslin, Torsten
(2021):
The Per-Tau Shell: A Giant Star-forming Spherical Shell Revealed by 3D Dust Observations.
In: Astrophysical Journal Letters, Bd. 919, Nr. 1, L5
Westerkamp, Margret; Ovchinnikov, Igor; Frank, Philipp und Ensslin, Torsten
(2021):
Dynamical Field Inference and Supersymmetry.
In: Entropy, Bd. 23, Nr. 12, 1652
Zucker, Catherine; Goodman, Alyssa; Alves, Joao; Bialy, Shmuel; Koch, Eric W.; Speagle, Joshua S.; Foley, Michael M.; Finkbeiner, Douglas; Leike, Reimar; Ensslin, Torsten; Peek, Joshua E. G. und Edenhofer, Gordian
(2021):
On the Three-dimensional Structure of Local Molecular Clouds.
In: Astrophysical Journal, Bd. 919, Nr. 1, 35
Porqueres, Natalia; Jasche, Jens; Lavaux, Guilhem und Ensslin, Torsten
(2019):
Inferring high-redshift large-scale structure dynamics from the Lyman-alpha forest.
In: Astronomy & Astrophysics, Bd. 630, A151
Steininger, Theo; Dixit, Jait; Frank, Philipp; Greiner, Maksim; Hutschenreuter, Sebastian; Knollmüller, Jakob; Leike, Reimar; Porqueres, Natalia; Pumpe, Daniel; Reinecke, Martin; Sraml, Matevz; Varady, Csongor und Ensslin, Torsten
(2019):
NIFTy 3-Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters.
In: Annalen der Physik, Bd. 531, Nr. 3, 1800290
Müller, Ancla; Hackstein, Moritz; Greiner, Maksim; Frank, Philipp; Bomans, Dominik J.; Dettmar, Ralf-Jürgen und Ensslin, Torsten
(2018):
Sharpening up Galactic all-sky maps with complementary data A machine learning approach.
In: Astronomy & Astrophysics, Bd. 620, A64
Huang, Xiaoyuan; Ensslin, Torsten und Selig, Marco
(2016):
Galactic dark matter search via phenomenological astrophysics modeling.
In: Journal of Cosmology and Astroparticle Physics, Nr. 4, 30