[R] Pre-registered replication of "Dreaming neural networks" (Hopfield unlearning, Fachechi et al. 2019) — submitted to ReScience C, code + data + pre-registrations public [R]
I re-implemented the dreaming (Hebbian-unlearning) Hopfield kernel J(t) = J(1+t)(1+tJ)^-1 from Fachechi, Agliari & Barra (Neural Networks 2019) in NumPy, at N = 1 000, 10 seeds per condition, with a pre-registered design frozen by git tags before each run. Main result: dreaming at t = 10 multiplies…
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- 2026-11-08 11:20 · r/MachineLearning
[R] Pre-registered replication of "Dreaming neural networks" (Hopfield unlearning, Fachechi et al. 2019) — submitted to ReScience C, code + data + pre-registrations public [R]
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