3 papers
cs.CV2026
Similarity-based representation factorization for revealing interpretable dimensions in representational data
Florian P. Mahner, Ka Chun Lam, Francisco Pereira +1
The study of representations is widespread across fields, including neuroscience, psychology, and artificial intelligence. While representations are often studied and compared thro…
cs.CV2026
Characterizing Universal Object Representations Across Vision Models
Florian P. Mahner, Johannes Roth, Ka Chun Lam +3
Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown…
cs.CV2025
Dimensions underlying the representational alignment of deep neural networks with humans
Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü +1
Determining the similarities and differences between humans and artificial intelligence (AI) is an important goal both in computational cognitive neuroscience and machine learning,…