1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Flexible task abstractions emerge in linear networks with fast and bounded units
Kai Sandbrink, Jan P. Bauer, Alexandra M. Proca +3
Animals survive in dynamic environments changing at arbitrary timescales, but such data distribution shifts are a challenge to neural networks. To adapt to change, neural systems m…
cs.LG2024★ 1 cited
Early learning of the optimal constant solution in neural networks and humans
Jirko Rubruck, Jan P. Bauer, Andrew Saxe +1
Deep neural networks learn increasingly complex functions over the course of training. Here, we show both empirically and theoretically that learning of the target function is prec…