6 citations · 12 across the 4 of their papers we have counts for
6 papers
The Universal Law of Generalization Holds for Naturalistic Stimuli
Raja Marjieh, Nori Jacoby, Joshua C. Peterson +1
Shepard's universal law of generalization is a remarkable hypothesis about how intelligent organisms should perceive similarity. In its broadest form, the universal law states that…
Bridging the prosody GAP: Genetic Algorithm with People to efficiently sample emotional prosody
Pol van Rijn, Harin Lee, Nori Jacoby
The human voice effectively communicates a range of emotions with nuanced variations in acoustics. Existing emotional speech corpora are limited in that they are either (a) highly…
Predicting Human Similarity Judgments Using Large Language Models
Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers +2
Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning. However, collecting…
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Thomas A. Langlois, H. Charles Zhao, Erin Grant +3
Developments in machine learning interpretability techniques over the past decade have provided new tools to observe the image regions that are most informative for classification…
Exploring emotional prototypes in a high dimensional TTS latent space
Pol van Rijn, Silvan Mertes, Dominik Schiller +4
Recent TTS systems are able to generate prosodically varied and realistic speech. However, it is unclear how this prosodic variation contributes to the perception of speakers' emot…
Gibbs Sampling with People
Peter M. C. Harrison, Raja Marjieh, Federico Adolfi +5
A core problem in cognitive science and machine learning is to understand how humans derive semantic representations from perceptual objects, such as color from an apple, pleasantn…