362 citations · 378 across the 6 of their papers we have counts for
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cs.LG2022★ 5 cited
Pareto-optimal clustering with the primal deterministic information bottleneck
Andrew K. Tan, Max Tegmark, Isaac L. Chuang
At the heart of both lossy compression and clustering is a trade-off between the fidelity and size of the learned representation. Our goal is to map out and study the Pareto fronti…
cs.LG2022★ 5 cited
Fault-Tolerant Neural Networks from Biological Error Correction Codes
Alexander Zlokapa, Andrew K. Tan, John M. Martyn +3
It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the grid…