112 citations · 130 across the 2 of their papers we have counts for
2 papers
cs.LG2017★ 112 cited
Generating and designing DNA with deep generative models
Nathan Killoran, Leo J. Lee, Andrew Delong +2
We propose generative neural network methods to generate DNA sequences and tune them to have desired properties. We present three approaches: creating synthetic DNA sequences using…
quant-ph2011★ 18 cited
Strong quantitative benchmarking of quantum optical devices
Nathan Killoran, Norbert Lütkenhaus
Quantum communication devices, such as quantum repeaters, quantum memories, or quantum channels, are unavoidably exposed to imperfections. However, the presence of imperfections ca…