Posters

Below you can find a selection of posters presented by WhiteBox researchers during the Symposium on Explainability 2023

Project Area 1: „Opening the Human Blackbox“

Applying Active Learning to Experiments with Humans

Author: Rabea Turon (click to view/download PDF)

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The Neurophysiology of Human Visual Perceptual Learning

Author: Ute Korn (click to view/download PDF)

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Closing the Loop in Robot Juggling

Author: Kai Ploeger (click to view/download PDF)

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Project Area 2: “Opening the Machine Blackbox”

Inferring Interpretable Properties in Sequential Decision Tasks

Author: Matthias Schultheis (click to view/download PDF)

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Deep black box models and probabilistic white box models inform each other

Author: Niteesh Midlagajni (click to view/download PDF)

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Project Area 3: “Closing the Loop: Human-Machine Interaction”

Man and Machine Walk Together

Author: Omid Mohseni (click to view/download PDF)

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Brain-Computer Interface in Assistive Wearable Robots

Author: Asghar Mahmoudi Khomami (click to view/download PDF)

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Self-Expanding Neural Networks

Author: Rupert Mitchell (click to view/download PDF)

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Trust Calibration in Large Language Models with XA

Author: Sven Schultze (click to view/download PDF)

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