Associating Latent Representations With Cognitive Maps via Hyperspherical Space for Neural Population Spikes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3212997
Abstract: Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms. Most existing… read more here.
Keywords: neural population; space; latent variable; latent representations ... See more keywords
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209419
Abstract: Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow field synthesis, and data reduction, just to name a few. However, existing latent… read more here.
Keywords: latent generation; importance; scientific data; importance driven ... See more keywords
Partially latent factors based multi‐view subspace learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12540
Abstract: Multi‐view subspace clustering always performs well in high‐dimensional data analysis, but is sensitive to the quality of data representation. To this end, a two‐stage fusion strategy is proposed to embed representation learning into the process… read more here.
Keywords: view subspace; multi view; subspace clustering; latent representations ... See more keywords
A study on the clusterability of latent representations in image pipelines
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2023.1074653
Abstract: Latent representations are a necessary component of cognitive artificial intelligence (AI) systems. Here, we investigate the performance of various sequential clustering algorithms on latent representations generated by autoencoder and convolutional neural network (CNN) models. We… read more here.
Keywords: representations image; image pipelines; study clusterability; clusterability latent ... See more keywords