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Papers matching “latent space learning” 83

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A multitask latent space learning framework for modeling and inversion of structure–property relationships
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Machine Learning in Materials Science Open access

Tarek Iraki

0

citations
Deep cross-modal hashing with multi-task latent space learning
2024 Engineering Applications of Artificial Intelligence article Computer Science Advanced Image and Video Retrieval Techniques

Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao

14

citations
Identifying the advantageous latent space dimensionality for StyleGANs used in industrial machine vision applications
2023 conference-paper Computer Science Generative Adversarial Networks and Image Synthesis

Dominik Wolfschläger, Ruslan Yermakov, Benjamin Montavon, Benjamin Berkels, Robert H. Schmitt

1

citations
Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning
2020 Proceedings - International Conference on Image Processing conference-paper Computer Science Face and Expression Recognition

Abin Jose, Yan Shen, Mi Zhang, Jens-Rainer Ohm

0

citations
Aging State Classification of Lithium-Ion Batteries in a Low-Dimensional Latent Space
2026 Batteries article Engineering Advanced Battery Technologies Research Open access

Limei Jin, Franz Philipp Bereck, Rüdiger‐A. Eichel, Josef Granwehr, Christoph Scheurer

0

citations
Learning minimal representations of fermionic ground states
2026 Physical Review Research article Physics and Astronomy Quantum many-body systems Open access

Felix Frohnert, Emiel Koridon, Stefano Polla

0

citations
Detecting Data Poisoning in Split Learning Using Intraclass- Distance Inflated Loss
2023 IEEE Globecom Workshops (GC Wkshps) conference-paper Computer Science Privacy-Preserving Technologies in Data

Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink

4

citations
Representation learning for fast radio burst dynamic spectra
2025 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Radio Astronomy Observations and Technology Open access

Dirk Kuiper, Gabriella Contardo, Daniela Huppenkothen, Jason W. T. Hessels

1

citations
Cluster-aware continuous treatment effect estimation via Hellinger-based balanced representation learning
2026 Signal Processing article Mathematics Advanced Causal Inference Techniques Open access

Siyuan Zhao, Yiran Zhuo, Hongchang Liu, Lincen Yang, Shujian Yu

0

citations
Deep learning for decoding lithium plating in lithium-ion batteries from post-mortem images
2026 Journal of Energy Storage article Engineering Advanced Battery Technologies Research Open access

Thorsten Tegetmeyer-Kleine, Heinrich Ditler, Gereon Karsten Stahl, Christiane Rahe, Dirk Uwe Sauer, Weihan Li

0

citations
Can unsupervised machine learning boost the on-site analysis of in situ synchrotron diffraction data?
2022 Scripta Materialia article Materials Science Machine Learning in Materials Science Open access

Tobias Strohmann, Pere Barriobero Vila, Joachim Gussone, David Melching, Andreas Stark, Norbert Schell, +1 more

6

citations
Hyper-parameter Optimization for Latent Spaces
2021 Lecture notes in computer science conference-paper Computer Science Data Stream Mining Techniques

Bruno Veloso, Luciano Caroprese, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Manuel Portela da Gama

4

citations
POS0570 UNSUPERVISED DEEP-LEARNING IDENTIFIES SIX CLINICAL SUBTYPES OF RHEUMATOID ARTHRITIS AT BASELINE THAT ASSOCIATE WITH METHOTREXATE FAILURE DURING FOLLOW-UP
2022 Annals of the Rheumatic Diseases conference-abstract Medicine Rheumatoid Arthritis Research and Therapies Open access

Tjardo Daniël Maarseveen, Marc P. Maurits, Tom W. J. Huizinga, Marcel J. T. Reinders, Erik B. van den Akker, Rachel Knevel

3

citations
Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms’ Tumors Using Unsupervised Machine Learning
2023 International Journal of Molecular Sciences article Biochemistry, Genetics and Molecular Biology Renal and related cancers Open access

Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky

3

citations
Characterization of the continuous transcriptional heterogeneity in Wilms’ tumors using unsupervised machine learning
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Renal and related cancers Open access

Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky

1

citations
Characterization of the Continuous Transcriptional Heterogeneity in Wilms’ Tumors Using Unsupervised Machine Learning
2022 SSRN Electronic Journal preprint Biochemistry, Genetics and Molecular Biology Renal and related cancers Open access

Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky

0

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck

24

citations
A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning
2023 IEEE International Conference on Robotics and Biomimetics (ROBIO) conference-paper Computer Science Advanced Vision and Imaging Open access

Jiacheng Pei, Kaixin Bai, Zhaopeng Chen, Jianwei Zhang

4

citations
Measurability of quality characteristics identified in latent spaces of Generative AI Models
2024 CIRP Annals article Engineering Industrial Vision Systems and Defect Detection Open access

Robert Heinrich Schmitt, Dominik Wolfschläger, Jan-Henrik Woltersmann, Lennart Stohrer

5

citations
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
2024 IEEE Conference on Artificial Intelligence (CAI) conference-paper Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

3

citations
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
2021 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Marc-André Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok

1

citations
TopoCLR: Topology-guided contrastive learning of representations for unsupervised crack analysis
2026 Computer-Aided Civil and Infrastructure Engineering article Engineering Infrastructure Maintenance and Monitoring Open access

Barış Özcan, Jörg Blankenbach

0

citations
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
2026 Eurographics conference-paper Engineering 3D Shape Modeling and Analysis Open access

Gregor Kobsik, Isaak Lim, Leif P. Kobbelt

0

citations
TokenJSP: Graph Representation Learning Datasets for Job Shop Scheduling
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Scheduling and Optimization Algorithms Open access

Ziya Valiyev, Alexander Nasuta

0

citations