Visualization-based disentanglement of latent space
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06223-z
Abstract: In recent years, selecting manipulation of data attributes by changing latent code using auto-encoder has received considerable scholarly attention . However, the representation of the data encoded by the auto-encoder cannot be visually observed. Furthermore,… read more here.
Keywords: space; disentanglement latent; based disentanglement; data attributes ... See more keywords
Spectral Shape Recovery and Analysis Via Data-driven Connections
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-021-01492-6
Abstract: We introduce a novel learning-based method to recover shapes from their Laplacian spectra, based on establishing and exploring connections in a learned latent space. The core of our approach consists in a cycle-consistent module that… read more here.
Keywords: shape; analysis; data driven; geometry ... See more keywords
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01213
Abstract: Molecular dynamics (MD) simulation is widely used to study protein conformations and dynamics. However, conventional simulation suffers from being trapped in some local energy minima that are hard to escape. Thus, most of the computational… read more here.
Keywords: adaptive sampling; space; latent space; seed ... See more keywords
AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-63259-2
Abstract: Species living in extremely cold environments resist the freezing conditions through antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living in sub-zero temperatures, AFPs have numerous applications in different industries. They possess… read more here.
Keywords: antifreeze proteins; prediction; using latent; latent space ... See more keywords
Molecular latent space simulators
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Science"
DOI: 10.1039/d0sc03635h
Abstract: Small integration time steps limit molecular dynamics (MD) simulations to millisecond time scales. Markov state models (MSMs) and equation-free approaches learn low-dimensional kinetic models from MD simulation data by performing configurational or dynamical coarse-graining of… read more here.
Keywords: space; kinetic models; space simulators; molecular latent ... See more keywords
Deep latent space fusion for adaptive representation of heterogeneous multi-omics data
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab600
Abstract: The integration of multi-omics data makes it possible to understand complex biological organisms at the system level. Numerous integration approaches have been developed by assuming a common underlying data space. Due to the noise and… read more here.
Keywords: multi omics; latent space; dlsf; omics data ... See more keywords
Adaptive autoencoder latent space tuning for more robust machine learning beyond the training set for six-dimensional phase space diagnostics of a time-varying ultrafast electron-diffraction compact accelerator.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.045302
Abstract: We present a general adaptive latent space tuning approach for improving the robustness of machine learning tools with respect to time variation and distribution shift. We demonstrate our approach by developing an encoder-decoder convolutional neural… read more here.
Keywords: phase space; space; machine learning; space tuning ... See more keywords
Latent Space Purification via Neural Density Operators.
Sign Up to like & getrecommendations! Published in 2018 at "Physical review letters"
DOI: 10.1103/physrevlett.120.240503
Abstract: Machine learning is actively being explored for its potential to design, validate, and even hybridize with near-term quantum devices. A central question is whether neural networks can provide a tractable representation of a given quantum… read more here.
Keywords: purification via; via neural; space purification; density ... See more keywords
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984571
Abstract: Transfer learning aims to leverage valuable information in one domain to promote the learning tasks in the other domain. Some recent studies indicated that the latent information, which has a close relationship with the high-level… read more here.
Keywords: multiple latent; space; transfer learning; latent spaces ... See more keywords
Filter Pruning and Re-Initialization via Latent Space Clustering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031031
Abstract: Filter pruning is prevalent for pruning-based model compression. Most filter pruning methods have two main issues: 1) the pruned network capability depends on that of source pretrained models, and 2) they do not consider that… read more here.
Keywords: space clustering; filter pruning; space; initialization ... See more keywords
EM-LAST: Effective Multidimensional Latent Space Transport for an Unpaired Image-to-Image Translation With an Energy-Based Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189352
Abstract: For an unpaired image-to-image translation to work effectively, the latent space of each image domain must be well-designed. The codes of each style must be translated toward the target while preserving the parts corresponding to… read more here.
Keywords: image translation; latent space; multidimensional latent; image ... See more keywords