research
∙
10/20/2022
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion
Voice conversion is a task to convert a non-linguistic feature of a give...
share
research
∙
08/05/2021
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
Linear layouts are a graph visualization method that can be used to capt...
research
∙
03/26/2021
Deep Two-Way Matrix Reordering for Relational Data Analysis
Matrix reordering is a task to permute the rows and columns of a given o...
research
∙
02/23/2021
Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix
Biclustering is a method for detecting homogeneous submatrices in a give...
research
∙
09/18/2020
X-DC: Explainable Deep Clustering based on Learnable Spectrogram Templates
Deep neural networks (DNNs) have achieved substantial predictive perform...
research
∙
05/27/2020
Selective Inference for Latent Block Models
Model selection in latent block models has been a challenging but import...
research
∙
06/10/2019
Goodness-of-fit Test for Latent Block Models
Latent Block Models are used for probabilistic biclustering, which is sh...
research
∙
10/03/2018
Interpreting Layered Neural Networks via Hierarchical Modular Representation
Interpreting the prediction mechanism of complex models is currently one...
research
∙
05/18/2018
Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition
Interpretability has become an important issue in the machine learning f...
research
∙
04/13/2018
Understanding Community Structure in Layered Neural Networks
A layered neural network is now one of the most common choices for the p...
research
∙
03/01/2017