Nonlinear Dimensionality Reduction by Locally Linear Embedding

• Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows

  2026 PRX Life article Neuroscience Neural dynamics and brain function Open access

  0

  citations
• Multi-subspace SVD Generators for Continual Learning

  2026 Communications in computer and information science conference-paper Computer Science Domain Adaptation and Few-Shot Learning

  0

  citations
• A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics: proof of concept and parameter study

  2025 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

  2

  citations
• Statistical physics, Bayesian inference, and neural information processing

  2024 Journal of Statistical Mechanics Theory and Experiment article Computer Science Bayesian Modeling and Causal Inference Open access

  1

  citations
• Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning

  2024 Expert Systems with Applications article Computer Science Face and Expression Recognition

  2

  citations
• Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation

  2024 Expert Systems with Applications article Computer Science Face and Expression Recognition

  41

  citations
• Principal component density estimation for scenario generation using normalizing flows

  2022 Data-Centric Engineering article Engineering Energy Load and Power Forecasting Open access

  14

  citations
• Deep Recursive Embedding for High-Dimensional Data

  2021 IEEE Transactions on Visualization and Computer Graphics article Computer Science Face and Expression Recognition Open access cited by 1 patent

  13

  citations
• Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes

  2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Engineering Digital Transformation in Industry

  10

  citations
• Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization

  2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

  17

  citations
• Model-free data-driven computational mechanics enhanced by tensor voting

  2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  82

  citations

11 results