102 citations · 331 across the 58 of their papers we have counts for
4 papers · 1 filter
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino +1
We introduce adversarial neural networks for representation learning as a novel approach to transfer learning in brain-computer interfaces (BCIs). The proposed approach aims to lea…
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…
Invariant Representations from Adversarially Censored Autoencoders
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
We combine conditional variational autoencoders (VAE) with adversarial censoring in order to learn invariant representations that are disentangled from nuisance/sensitive variation…
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…