Ulrike von Luxburg
Biographic Data
| ID | 9667154 |
|---|---|
| NAME | Ulrike von Luxburg |
| GIVEN NAMES | Ulrike |
| FAMILY NAME | von Luxburg |
| SIGNATURE | VON LUXBURG U |
| AFFILIATIONS | Bernstein Center for Computational Neuroscience Tübingen |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Information-Theoretic Measures of Metacognition
Metacognition comprises the ability to differentiate the accuracy of predictions about the world. This is often called Type 2 performance (with Type 1 performance being the overall accuracy). Typical measures of metacognition are based on signal detection theory and require the strong assumption of truncated normal noise underlying confidence ratings. To minimize distributional assumptions, measures based on classical information theory have been…
No evidence for contextual cueing beyond explicit recognition
Many studies claim that visual regularities can be learned unconsciously and without explicit awareness. For example in the contextual cueing paradigm, studies often make claims using a standard reasoning based on two results: (1) a reliable response time (RT) difference between repeated vs. new stimulus displays and (2) a close-to-chance sensitivity when participants are asked to explicitly recognize repeated stimulus displays. From this pattern…
A tutorial on spectral clustering
No prominent works on this page.
A tutorial on spectral clustering
No evidence for contextual cueing beyond explicit recognition
Many studies claim that visual regularities can be learned unconsciously and without explicit awareness. For example in the contextual cueing paradigm, studies often make claims using a standard reasoning based on two results: (1) a reliable response time (RT) difference between repeated vs. new stimulus displays and (2) a close-to-chance sensitivity when participants are asked to explicitly recognize repeated stimulus displays. From this pattern…
Information-Theoretic Measures of Metacognition
Metacognition comprises the ability to differentiate the accuracy of predictions about the world. This is often called Type 2 performance (with Type 1 performance being the overall accuracy). Typical measures of metacognition are based on signal detection theory and require the strong assumption of truncated normal noise underlying confidence ratings. To minimize distributional assumptions, measures based on classical information theory have been…
Advanced Graph Neural Networks (1 work) · Adversarial Robustness in Machine Learning (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Binary number (1 work) · Canopy clustering algorithm (1 work) · Cluster analysis (1 work) · Cognitive psychology (1 work) · Cognitive science (1 work) · Communication (1 work)