49 citations · 102 across the 9 of their papers we have counts for
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physics.app-ph2018★ 17 cited
Deep Neural Network Inverse Design of Integrated Nanophotonic Devices
Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike-Akino +4
Predicting physical response of an artificially structured material is of particular interest for scientific and engineering applications. Here we use deep learning to predict opti…
eess.SP2018★ 1 cited
Multiset-Partition Distribution Matching
Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +2
Distribution matching is a fixed-length invertible mapping from a uniformly distributed bit sequence to shaped amplitudes and plays an important role in the probabilistic amplitude…