Frieda Born
Frieda Born
Fabian Kamp, Frieda Josefine Born, Bernhard Spitzer
Memory diffusion: Using generative AI to create an image database for memory research
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
Aligning Machine and Human Visual Representations across Abstraction Levels
Lukas Muttenthaler, Frieda Born, Klaus Greff, Thomas Unterthiner, Andrew Lampinen, Klaus-Robert Müller, Mike Mozer
Evaluating and supervising vision models with multi-level similarity judgments
Frieda Born, Bernhard Spitzer
Long-Term Effects of Working Memory Retrieval from Prioritized and Deprioritized States
When AI “thinks” like us
A team of researchers from BIFOLD, Google DeepMind, Max Planck Institute for Human Development and Max Planck Institute for Cognitive and Brain Sciences developed a new approach for image processing models, „AligNet“, that for the first time integrates human semantic structures into neural image processing models, bringing the visual understanding of these computer models closer to that of humans. Their publication „Aligning Machine and Human Visual Representations across Abstraction Levels“ has now been published in the prestigious scientific journal „Nature“.