2 citations · 3 across the 6 of their papers we have counts for
6 papers
Disentangling Model and Human Data Uncertainty in Apparent Facial Age Estimation
Andrei Foitos, Ivo Pascal de Jong, Matias Valdenegro-Toro
Estimating the apparent age of individuals from facial images is challenging due to the subjective nature of perception and the inherent variability of the data. We investigate the…
NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty
Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro +3
Estimating the difficulty of exam questions is essential for developing good exams, but professors are not always good at this task. We compare various Large Language Model-based m…
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro +1
Brain-computer interfaces (BCIs) turn brain signals into functionally useful output, but they are not always accurate. A good Machine Learning classifier should be able to indicate…
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
Mirko Borszukovszki, Ivo Pascal de Jong, Matias Valdenegro-Toro
To leverage the full potential of Large Language Models (LLMs) it is crucial to have some information on their answers' uncertainty. This means that the model has to be able to qua…
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
Tobias Groot, Matias Valdenegro-Toro
Language and Vision-Language Models (LLMs/VLMs) have revolutionized the field of AI by their ability to generate human-like text and understand images, but ensuring their reliabili…
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz +1
Neuromorphic computing mimics computational principles of the brain in and motivates research into event-based vision and spiking neural networks (SNNs). Event ca…