Professor für die Methoden des Maschinellen Lernens Maria-von-Linden-Straße 6, 2. OG, 20-5/A24
+49 7071 29 70850 (Sekretariat) mml-sekretariatspam prevention@inf.uni-tuebingen.de persönliche Website
Sprechzeiten nach Vereinbarung
Sekretariat / Secretary Maria-von-Linden-Straße 6, 2.OG, 20-5/A21
+49 7071 29 70850 (Telefon)
mml-sekretariatspam prevention@inf.uni-tuebingen.de
Post Doc Maria-von-Linden-Straße 6, 2.OG, 20-5/A10
+49 7071 29 70852
f.schneiderspam prevention@uni-tuebingen.de
persönliche Website
Research Topics: Deep Learning, Optimization
Doktorandin Maria-von-Linden-Straße 6, 2.OG, 20-30/A15
+49 7071 29 70858
kerstin.rauspam prevention@uni-tuebingen.de
(ko-optiert von der Soil Science & Geomorphology Gruppe) Research Topics: interpretable spatial prediction, soil science, deep learning
Doktorand Maria-von-Linden-Straße 6, 2.OG, 20-30/A21
+49 7071 29 70859
nathanael.boschspam prevention@uni-tuebingen.de persönliche Website
Research Topics: Probabilistic Numerics, Differential Equations, Bayesian Filtering and Smoothing
Doktorand Maria-von-Linden-Straße 6, 2.OG, Raum 20-30/A21
lukas.tatzelspam prevention@uni-tuebingen.de
Research Topics: distribution-based stochastic optimization, second-order methods, deep learning
Doktorandin
Maria-von-Linden-Straße 6, 2.OG, 20-30/A15
+49 07071 29 70858
julia.grosse@uni-tuebingen.de
Research Topic: Tree Search
Doktorandin Maria-von-Linden-Straße 6, 2.OG, 20-28/A24
+49 7071 29 70857
emilia.magnani@uni-tuebingen.de
Research Topics: Probabilistic numerics, Differential equations, Gaussian processes
Doktorand
Maria-von-Linden-Straße 6, 2.OG, 20-28/A24 +49 07071 29 70857
jonathan.schmidtspam prevention@uni-tuebingen.de
Research Topics: Probabilistic Numerics, Differential Equations, Application to Earth Surface Dynamics
Doktorand Maria-von-Linden-Straße 6, 2.OG, Raum 20-5/A7
+49 7071 29 70860
a.fernandez@uni-tuebingen.de
Maria-von-Linden-Straße 6, 2.OG, 20-30/A21
+49 07071 29 70859
marvin.pfoertner@uni-tuebingen.de
Research Topics: Probabilistic Numerics, Partial Differential Equations, Gaussian Processes, Physics-Informed Machine Learning
Maria-von-Linden-Straße 6, 2.OG, 20-5/A7
+49 07071 29 70860
joanna.sliwa@uni-tuebingen.de
Research Topics: Continual Learning, Deep Learning, Optimization
Maria-von-Linden-Straße 6, 2.OG, 20-38/A18
+49 07071 29 70856
nathael.da-costaspam prevention@uni-tuebingen.de
Research Topics: Gaussian Processes, Partial Differential Equations, Geometric Learning
Maria-von-Linden-Straße 6, 2.OG, 20-28/18
t.weberspam prevention@uni-tuebingen.de
Research Topics: Uncertainty Quantification, Deep Learning for Partial Differential Equations, Geometric Deep Learning
tim.weilandspam prevention@uni-tuebingen.de
Research Topics: Probabilistic Numerics, Large-Scale Partial Differential Equation Systems, Gaussian Processes
Doktorandin Maria-von-Linden-Straße 6, 4.OG, 40-18/A7, Desk 10
luca.schmidt@uni-tuebingen.de
(ko-optiert von der Maschinelles Lernen in Nachhaltigen Energiesystemen Gruppe) Research Topics: Gaussian Processes, Uncertainty quantification, Superresolution & forecasting of climate data
carla.sagebielspam prevention@uni-tuebingen.de
+49 07071 29 70857 Research Topics: Deep Learning, Generative models, Probabilistic Machine Learning, Uncertainty Quantification
Maria-von-Linden-Straße 6, 2.OG, 20-28/A18
balint.mucsanyispam prevention@uni-tuebingen.de
Research Topics: Uncertainty Quantification, Geometric Deep Learning, Optimization
Student Assistant
Maria-von-Linden-Straße 6, 2.OG, 20-18/A7
lars.kasueschkespam prevention@student.uni-tuebingen.de
Master Student
carlos-alberto.santillan-morenospam prevention@student.uni-tuebingen.de
fabrice.von-der-lehrspam prevention@student.uni-tuebingen.de
Bachelor Student
max.hatfieldspam prevention@student.uni-tuebingen.de
Externer Bachelor Student @ Paul Horn GmbH
fabian.dehn@student.uni-tuebingen.de
leon.fussspam prevention@student.uni-tuebingen.de
david.suckrowspam prevention@student.uni-tuebingen.de
nicolas.sengspam prevention@student.uni-tuebingen.de
Project Student
luca.fuegerspam prevention@student.uni-tuebingen.de
