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Papers matching “tensor train” 21

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Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
High-Dimensional Stochastic Finite Volumes Using the Tensor Train Format
2026 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Computer Graphics and Visualization Techniques Open access

Michaël Herty, Siegfried Müller

0

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2025 Journal of Chemical Theory and Computation article Biochemistry, Genetics and Molecular Biology Protein Structure and Dynamics

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

7

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Computer Science Computational Physics and Python Applications Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Chemistry Advanced NMR Techniques and Applications Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2023 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Some Thoughts on Compositional Tensor Networks
2024 Springer eBooks book-chapter Physics and Astronomy Advanced Thermodynamics and Statistical Mechanics

Reinhold Schneider, Mathias Oster

0

citations
Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains
2022 Computational Mechanics article Engineering Composite Material Mechanics Open access

Martin Eigel, Robert Gruhlke, Dieter Moser, Lars Grasedyck

1

citations
Predicting Plastic Activity in Disordered Solids via Geometric Measures
2026 PAMM article Materials Science Material Dynamics and Properties Open access

Somar Shekh Alshabab, Zhao Wu, Bernd A. Markert, Franz Bamer

0

citations
QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

6

citations
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustin Salcedo, Florian Kleemiss, +2 more

0

citations
Machine learning with classical data
2025 Cambridge University Press eBooks book-chapter Computer Science Computational Physics and Python Applications Open access

0

citations
Preoperative navigated TMS-DTI-based tracking of the optic radiation: a proof of concept
2021 Brain and Spine article Medicine Optical Imaging and Spectroscopy Techniques Open access

Karlijn Hakvoort, Jonas Ort, Julius M. Kernbach, Hans Clusmann, Georg Neuloh, Daniel Delev

0

citations
Taming numerical imprecision by adapting the KL divergence to negative probabilities
2024 Statistics and Computing article Mathematics Tensor decomposition and applications Open access

Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, +1 more

4

citations
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Materials Science Machine Learning in Materials Science Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

4

citations
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2023 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

0

citations
Tailor-made synaptic dynamics based on memristive devices
2023 Frontiers in Electronic Materials article Engineering Advanced Memory and Neural Computing Open access

Christopher Bengel, Kaihua Zhang, Johannes Mohr, Tobias Ziegler, Stefan Wiefels, Rainer M. Waser, +2 more

13

citations
Dynamics Modeling of Industrial Robots Using Transformer Networks
2022 conference-paper Computer Science Time Series Analysis and Forecasting

Minh Trinh, Mohamed Behery, Mahmoud Emara, Gerhard Lakemeyer, Simon Storms, Christian Brecher

5

citations
Efficient Feature Compression for the Object Tracking Task
2022 2022 IEEE International Conference on Image Processing (ICIP) conference-paper Computer Science Advanced Data Compression Techniques

Robert Henzel, Kiran Misra, Tianying Ji

6

citations

21 results