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Papers matching “low-dimensional subspace” 11

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High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations
Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
2026 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jinyuan Chang, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Yi Xu, Jerry Zhijian Yang

6

citations
Reduced order modeling of modular parameter dependent structures based on proper orthogonal decomposition and mesh tying
2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese

1

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

4

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Reduced basis surrogates for quantum spin systems based on tensor networks
2023 Physical review. E article Physics and Astronomy Quantum many-body systems Open access

Paul Brehmer, Michael F. Herbst, Stefan Weßel, Matteo Rizzi, Benjamin Stamm

9

citations
Reduced basis surrogates for quantum spin systems based on tensor networks
2023 PubMed article Physics and Astronomy Quantum many-body systems Open access

Paul Brehmer, Michael F. Herbst, Stefan Weßel, Matteo Rizzi, Benjamin Stamm

0

citations
Efficient localised model reduction for multiscale PDEs via Grassmannian interpolation
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Christian Alber, Markus Bachmayr, Robert Scheichl, Huqing Yang

0

citations
Mori–Zwanzig latent space Koopman closure for nonlinear autoencoder
2025 Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access

Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi

13

citations
Data associated to the paper "Reduced basis surrogates for quantum spin systems based on tensor networks"
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Quantum many-body systems Open access

Paul Brehmer, Michael F. Herbst, Stefan Weßel, Matteo Rizzi, Benjamin Stamm

0

citations
Data associated to the paper "Reduced basis surrogates for quantum spin systems based on tensor networks"
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Quantum many-body systems Open access

Paul Brehmer, Michael F. Herbst, Stefan Weßel, Matteo Rizzi, Benjamin Stamm

0

citations

11 results