AI RESEARCH
Learning Coherent Representations: A Topological Approach to Interpretability
arXiv CS.LG
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ArXi:2606.02841v1 Announce Type: new Deep neural networks learn representations where individual features often lack interpretable meaning; a single neuron may activate for scattered, unrelated inputs. We