Papers matching “low-dimensional embedding” 25
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Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images2022 IEEE Pacific Visualization Symposium conference-paper Computer Science Face and Expression Recognition Open access
Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt
5citations -
Stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries2021 Magnetic Resonance Materials in Physics Biology and Medicine article Medicine Advanced MRI Techniques and Applications Open access
Kirsten Koolstra, Peter Börnert, Boudewijn P. F. Lelieveldt, Oleh Dzyubachyk
4citations -
In situ GISAXS and GID characterization of GaN growth on liquid metal catalysts2026 European Synchrotron Radiation Facility dataset Physics and Astronomy GaN-based semiconductor devices and materials Open access
Egor Bersenev, Jorge Andres Blanco Vasquez, Bárbara Canto Otto, Nikoo Ghanadan, Irene M. N. Groot, Ruben Alejandro Ortiz Francisco, +3 more
0citations -
AlphaFold Meets De Novo Drug Design: Leveraging Structural Protein Information in Multitarget Molecular Generative Models2024 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Andrius Bernatavicius, Martin Šícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuß, Gerard J. P. van Westen
20citations -
Hyperbolic Image Segmentation2022 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Advanced Neural Network Applications Open access
Mina Ghadimi Atigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes
81citations -
Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access
Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more
1citations -
Emergent topological structure in spontaneous brain-organoid activity2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Topological and Geometric Data Analysis Open access
Eve Bodnia, Margaux Basart, Sofie Hai, Nina Miolane, Kenneth S. Kosik, Dirk Bouwmeester, +1 more
0citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations
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scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments2026 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Ritabrata Sanyal, Yang Xu, Hyojin Kim, Rafael Kramann, Sikander Hayat
0citations -
Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access
Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more
0citations -
Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium2022 RWTH Publications (RWTH Aachen) article Physics and Astronomy Model Reduction and Neural Networks Open access
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
1citations
25 results