4 papers
Baba Is AI: Break the Rules to Beat the Benchmark
Nathan Cloos, Meagan Jens, Michelangelo Naim +4
Humans solve problems by following existing rules and procedures, and also by leaps of creativity to redefine those rules and objectives. To probe these abilities, we developed a n…
A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field
Nathan Cloos, Guangyu Robert Yang, Christopher J. Cueva
Similarity measures are fundamental tools for quantifying the alignment between artificial and biological systems. However, the diversity of similarity measures and their varied na…
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Yuhan Helena Liu, Guangyu Robert Yang, Christopher J. Cueva
Understanding how the brain learns may be informed by studying biologically plausible learning rules. These rules, often approximating gradient descent learning to respect biologic…
Differentiable Optimization of Similarity Scores Between Models and Brains
Nathan Cloos, Moufan Li, Markus Siegel +4
How do we know if two systems - biological or artificial - process information in a similar way? Similarity measures such as linear regression, Centered Kernel Alignment (CKA), Nor…