Daniel Angerhausen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Maximum Likelihood

Automated Discovery

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Adam Lesnikowski, Valentin Tertius Bickel, Daniel Angerhausen
Automated Discovery of Anomalous Features in Ultralarge Planetary Remote-Sensing Datasets Using Variational Autoencoders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. CoRR (2023)
Timothy D. Gebhard, Daniel Angerhausen, Björn S. Konrad, Eleonora Alei, Sascha P. Quanz, Bernhard Schölkopf
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks. CoRR (2023)
Adam Lesnikowski, Valentin Tertius Bickel, Daniel Angerhausen
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection. CoRR (2020)
Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atilim Günes Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. CoRR (2019)
Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne, Simone Zorzan, Atilim Gunes Baydin, Adam D. Cobb, Daniel Angerhausen, Giada N. Arney, Shawn D. Domagal-Goldman
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval. CoRR (2018)
Kevin H. Knuth, Ben Placek, Daniel Angerhausen, Jennifer L. Carter, Bryan D'Angelo, Anthony D. Gai, Bertrand Carado
EXONEST: The Bayesian Exoplanetary Explorer. Entropy 19 (10) (2017)