Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A statistical framework designs local builder rules that steer emergent network properties such as coverage, line density, and front curvature toward chosen targets in a tent-caterpillar-inspired model.
citing papers explorer
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Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks
Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.
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Local Rules for Directing the Emergence of Global Properties in Complex Structures
A statistical framework designs local builder rules that steer emergent network properties such as coverage, line density, and front curvature toward chosen targets in a tent-caterpillar-inspired model.