F Born: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by F Born in Cognitive Alignment and Computer Vision (2025). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by F Born in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Aligning machine and human visual representations across abstraction levels

Authors: L Muttenthaler, K Greff, F Born, B Spitzer, S Kornblith

Year: 2025

Published in: Nature, 2025 - nature.com

Institution: Google DeepMind, Google, Machine Learning Group, Technische Universität Berlin, BIFOLD, Berlin Institute for the Foundations of Learning and Data, Max Planck Institute

Research Area: Cognitive Alignment, Computer Vision, Multi-level Conceptual Knowledge

Discipline: Artificial Intelligence, Cognitive Science

This paper presents a method for **aligning machine vision model representations with human visual similarity judgments across different abstraction levels, improving how well models reflect human perceptual and conceptual organization and enhancing generalization and uncertainty prediction.

Citations: 11