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cs.NE2024
How Biological Synapses Self-Assemble Gradient Learning
Qianli Liao, Liu Ziyin, Yulu Gan +4
Existing models of learning in the brain explain how given circuits learn, but not how biology could assemble those circuits in the first place. To address this gap, we formulate S…
cs.LG2024
Training the Untrainable: Introducing Inductive Bias via Representational Alignment
Vighnesh Subramaniam, David Mayo, Colin Conwell +4
We demonstrate that architectures which traditionally are considered to be ill-suited for a task can be trained using inductive biases from another architecture. We call a network…