Latent space reconstruction for missing data problems in CT
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17910
Abstract: The reconstruction of a computed tomography (CT) image can be compromised by artifacts, which, in many cases, reduce the diagnostic value of the image. These artifacts often result from missing or corrupt regions in the… read more here.
Keywords: reconstruction; missing data; reconstruction missing; space reconstruction ... See more keywords
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
Stability analysis of chaotic systems in latent spaces
Sign Up to like & getrecommendations! Published in 2024 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-024-10712-w
Abstract: Partial differential equations, and their chaotic solutions, are pervasive in the modelling of complex systems in engineering, science, and beyond. Data-driven methods can find solutions to partial differential equations with a divide-and-conquer strategy: The solution… read more here.
Keywords: chaotic systems; space; stability; space approach ... 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
One-Shot Neural Face Reenactment via Finding Directions in GAN’s Latent Space
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-024-02018-6
Abstract: In this paper, we present our framework for neural face/head reenactment whose goal is to transfer the 3D head orientation and expression of a target face to a source face. Previous methods focus on learning… read more here.
Keywords: gan latent; neural face; face; reenactment ... 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
Exploring transition states of protein conformational changes via out-of-distribution detection in the hyperspherical latent space
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-024-55228-4
Abstract: Identifying transitional states is crucial for understanding protein conformational changes that underlie numerous biological processes. Markov state models (MSMs), built from Molecular Dynamics (MD) simulations, capture these dynamics through transitions among metastable conformational states, and… read more here.
Keywords: transition states; states protein; conformational changes; protein conformational ... See more keywords
Simple arithmetic operation in latent space can generate a novel three-dimensional graph metamaterials
Sign Up to like & getrecommendations! Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-024-01430-3
Abstract: Recent advancements in artificial intelligence (AI)-based design strategies for metamaterials have revolutionized the creation of customizable architectures spanning nano- to macro-scale dimensions. However, their increasing complexity poses challenges in generating diverse metamaterials, hindering widespread adoption.… read more here.
Keywords: methodology; space; graph metamaterials; three dimensional ... 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