Florian Kadner M.Sc.
Psychologie der Informationsverarbeitung
work +49 6151 16-23366
Florian joined the lab as a PhD student in May 2019.
Until September 2022 he was working on the DFG project „Active vision: control of eye-movements and probabilistic planning“.
I am interested in how humans carry out eye-movements across different tasks and how this can be understood with models of probabilistic planning. To investigate these issues, I try to examine environments and stimuli that are as natural as possible. Other areas of interest are image saliency, adaptive human-computer-interaction models and applied methods of machine learning and cognitive modeling.
Talks & Presentations
|Winner of the TU Darmstadt Ideas Competition in the category „Scientists“ for the project „AdaptiFont“ (together with Constantin Rothkopf).||October 2022|
|Summer 2023||Statistical modeling for cognitive science||Exercise||B.Sc.|
|Summer 2022||Psychology Lab for Cognitive Science||Practical course||B.Sc.|
|Winter 2021||Cognitive Science II: Cognition||Seminar||B.Sc.|
|Summer 2021||Statistical modeling for cognitive science||Exercise||B.Sc.|
|Winter 2020||Advanced Module III: Applied Cognitive Science||Seminar||M.Sc.|
|Summer 2020||Statistical modeling for cognitive science||Exercise||B.Sc.|
|Specialization in cognitive psychology||Seminar||B.Sc.|
|Winter 2019||Advanced Module III: Applied Cognitive Science||Seminar||M.Sc.|
|Summer 2019||Cognitive Modeling||Exercise||B.Sc.|
|Christian Robert Bald||A Partially Observable Markov Decision Process model of blinking|
|Marius Kleboth||Comparing humans and reinforcement learning agents|
|Tobias Thomas||The neuroeconomics of eye movements|
|Tabea Alina Wilke||Learning temporal planning of gaze sequences under uncertainty|
|Sebastian Bock||Human and Transformer Attention in Visual Question Answering|
|Tobias Niehues||Do humans adapt their planning horizon?|
|Thabo Matthies||Learning generative models for font synthesis|
|Dinh Khanh Thi Vo||Image captioning networks for saliency prediction|
|Trung-Hoa Ha||Comparing machine learning methods for font generation|
|Wassim Ben Salem||Fully Convolutional Network for Image Saliency|